Chronos: Pretrained Models for Time Series Forecasting
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Updated
Aug 14, 2026 - Python
Chronos: Pretrained Models for Time Series Forecasting
Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
Label, clean and enrich text datasets with LLMs.
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
Serverless LLM Serving for Everyone.
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
multilspy is a lsp client library in Python intended to be used to build applications around language servers.
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Fast Inference Solutions for BLOOM
Exact structure out of any language model completion.
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed
A tool for generating function arguments and choosing what function to call with local LLMs
A comprehensive, unified and modular event extraction toolkit.
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
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