docs: add Vercel AI SDK integration with browser-ai/transformers-js package#1514
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jakobhoeg wants to merge 129 commits intohuggingface:mainfrom
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docs: add Vercel AI SDK integration with browser-ai/transformers-js package#1514jakobhoeg wants to merge 129 commits intohuggingface:mainfrom
jakobhoeg wants to merge 129 commits intohuggingface:mainfrom
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* ONNX Runtime improvements (experimental native webgpu; fix iOS) (huggingface#1231) * customize the wasm paths * update implementation * allow using 'webgpu' in nodejs binding * update version of onnxruntime-node * Upgrade onnxruntime-web to same version as onnxruntime-node * Update list of supported devices --------- Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com> * customize the wasm paths (huggingface#1250) * customize the wasm paths * update implementation * [internal] Add is_decoder option to session retrieval for preferred output location * Update tests * Formatting * Bump ort versions * Bump onnxruntime-node version * Bump versions * Bump ORT versions * Bump versions * Only check webgpu fp16 for non-node environments * Fix * Assume node supports webgpu * Update ORT node support comment * Relax test strictness * Update conversion script versions * Downgrade onnxslim * cleanup * Update package-lock.json * Update onnxruntime versions * Update post-build script * Use built-in session release function * Call garbage collection after each tokenizer test * Do not double-throw error * Fix race-condition in build process with file removal * Update versions * Bump jinja version * [version] Update to 3.6.3 * Bump jinja version to support new features * [version] Update to 3.6.3 * Add support for LFM2 models (huggingface#1367) * Use prefix in lfm2 output location (huggingface#1369) * Update package-lock.json * Run `npm audit fix` * Add special tokens in text-generation pipeline if tokenizer requires (huggingface#1370) * Add special tokens in text-generation pipeline if tokenizer requires * Fix logits processors tests * Update bundles.test.js * Update comment * Formatting * Add support for ModernBERT Decoder (huggingface#1371) * Use from/to buffer instead of string Actually fixes huggingface#1343 * Add support for Voxtral (huggingface#1373) * Support longform voxtral processing (huggingface#1375) * [version] Update to 3.7.0 * Add support for Arcee (huggingface#1377) * Optimize tensor.slice() (huggingface#1381) * Optimize tensor.slice() The performance of executing `tensor.slice()` is super poor, especially for the 'logits' tensor with large dimensions. ``` const logits = outputs.logits.slice(null, -1, null);` ``` This is because currently implementation of the `slice` method manually iterates through each element and calculate indices which is a big time consuming if the tensor shape is large. For cases like `slice(null, -1, null)`, where the slicing operation is contiguous along certain dimensions, which can be optimized by bulk copy by using `TypeArray.subarray()` and `TypeArray.set()`. * nit * Add a few more tensor slice unit tests --------- Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com> --------- Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Wanming Lin <wanming.lin@intel.com>
…ace#1468) * suppress console.error while creating InferenceSession * changed console suppress if not one of the misleading errors * set default logSeverityLevel and also match the ONNX_WEB.env.logLevel * indentation * small fix * some clean-up * Apply suggestions from code review Co-authored-by: Joshua Lochner <admin@xenova.com> * added LOG_LEVELS to the top of the file --------- Co-authored-by: Joshua Lochner <admin@xenova.com>
huggingface#1471) * added wasm cache * some refactoring of the hub.js and caching of the wasm factory * fixed comment * added string as cache return * fixes after review * Only return if match is found * Return response even if cache doesn't exist Don't throw error if we can't open cache or load file from cache, but we are able to make the request. --------- Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com> Co-authored-by: Joshua Lochner <admin@xenova.com>
* added blob check before cahing wasm or mjs file * added propper handling for absolute/relative URLs * clean up * removed unneeded url check * use isValidUrl
* added esuild * fixed stream and stream/promises import * changes after review * Delete webpack.config.js * Bump esbuild version --------- Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com>
…ngface#1498) * started refactoring * started refactoring * started refactoring * added model class files * added model class files * added model class files * all model classes in their own files * refactored PreTrainedModel * refactoring done, lets fix bugs * added model-registry * removed dev file * changed casing * refactored MODEL_TYPE_CONFIG * fixed tests * small refactoring * moved model loader to its own file * fixed ts errors * big structure refactoring * fixed build * renamed _base/pre-trained-model.js and _base/output.js * small casing changes * Update src/models/ernie4_5/modeling_ernie4_5.js Co-authored-by: Joshua Lochner <admin@xenova.com> * refactored models/utils.js * fixed double MODEL_FOR_ definitions with registerTaskMappings helper * auto/image_processing_auto.js export * auto/image_processing_auto.js export * Improve model mapping setup * Fix LlavaPreTrainedModel * Move llava_onevision to separate files * Add missing exports * Update jinja version * Fix default class mapping * Simplify registerTaskMappings * Update registry.js * Formatting in src/models * Formatting in src * Move model-specific ModelOutput to respective modeling files * Final cleanup * Cleanup model exports * Fix Tensor type re-export * Clean up registry exports * Cleanup * Simplify loadResourceFile * Use positional arguments for repo id and filename * Update global library exports * Remove ts-expect-error * Formatting * let -> const --------- Co-authored-by: Joshua Lochner <admin@xenova.com> Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com>
* Remove legacy tokenizer tests * Update utils.test.js * Update unit tests * Refactor tokenizers.js * Update streamers.js * Update imports * Initial tokenization migration * Remove unnecessary index.js files * Do not export PretrainedMixin * Refactor models.js/tokenizers.js * Update imports * Update more imports * Update folder structure and imports * Delete tokenization_code_xlm_roberta.js * Fix import path * Fix typos * Update import path
* Remove legacy tokenizer tests * Update utils.test.js * Update unit tests * Refactor tokenizers.js * Update streamers.js * Update imports * Initial tokenization migration * Remove unnecessary index.js files * Do not export PretrainedMixin * Refactor models.js/tokenizers.js * Update imports * Update more imports * Update folder structure and imports * Delete tokenization_code_xlm_roberta.js * Add support for FalconH1
* Setup test case * Update audio-classification.js * Update text-to-audio pipeline: implementation and types * Implement tensor repeat and tile operations * Optimize randn implementation * Update automatic-speech-recognition.js * Update question-answering.js * Update image-classification.js * Update image-to-image.js * Update text-classification.js * Update depth-estimation.js * Update background-removal.js * Update image-segmentation JSDoc * Fix DQA JSDoc * Remove unused type * Update ObjectDetectionPipeline types * Update Text2TextGenerationPipeline types (and subclasses) * Update TokenClassificationPipeline types * Update image-to-text.js * Remove useless constructors * Update zero-shot pipeline types * Update image-segmentation.js * Create pipeline tests for type checking * Update tsconfig.json * Update onnx.js * Use defined types * Support passing speaker embeddings tensor directly
* switched to pnpm workspaces * updated github actions * added comments * Update tensor.js * Formatting * Update tsconfig.json * Update tsconfig.json * fixed circular reference error in pipelines/zero-shot-audio-classification.js * Post-tsconfig updates * Move transformers.js docs to package folder * Move additional tests * JSDoc update * Version bumps * Update incorrect test * Update test_modeling_musicgen.js * Update test_modeling_musicgen.js * Update test_modeling_musicgen.js * fixed broken symlink * fixes after review * Remove old conversion scripts Users should use onnxruntime-genai or optimum directly * Update .prettierrc * Formatting * Update readme/docs * Move build scripts to parent folder * Remove unused tests * Remove old compare function * Fix JSDoc * Update generate.js * Update inline descriptions * Bump versions * Update node imports * Add module header to FileCache.js * JSDoc updates * Update tensor.js * Move prettier config to package.json key * Update FileCache.js * Remove unused import * Remove non-existent file include * Prefer non-default exports * Update doc module exports * Update docs generation script * merged tsconfigs and added contributing.md * Update path_to_docs * Formatting * Formatting * Formatting * Update prettier usage * Remove <code> tags from headers * Swap docs-preview and docs-build commands * ONNXRUNTIME_NODE_INSTALL=skip for doc-builder * Update buildAll.mjs * Update index --------- Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com>
Collaborator
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Hi @jakobhoeg, Thanks for the PR! In general I think its great to add the Vercel AI SDK to the docs. We can then take another look at the exact wording and page structure, OK? |
Author
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Sounds like a plan! I'll update and use v4 as the base branch. |
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This PR proposes adding documentation for using Transformers.js with the Vercel AI SDK via the @browser-ai/transformers-js community model provider. This is an idea/suggestion for the core docs, happy to adjust or remove if you feel like it doesn't fit.
Closes #1389
Summary
(docs/source/guides/vercel-ai-sdk.md)covering usage of Transformers.js as a Vercel AI SDK model provider via @browser-ai/transformers-js npm package. Text generation, embeddings, vision, transcription, tool calling, Web Workers, download progress, useChat transport, and browser fallback.(docs/source/tutorials/next-ai-sdk.md)for building a Next.js AI chatbot from scratch with WebGPU, tool calling, and human-in-the-loop approval.