Hugging Face Transformer Deployment Tutorial #49
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nnshah1
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Quick_Deploy/HuggingFaceTransformers/base_text_classification_model.py
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nnshah1
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nnshah1
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nnshah1
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Quick_Deploy/HuggingFaceTransformers/base_text_generation_model.py
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… add README, restructure repo
rmccorm4
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rmccorm4
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yeahdongcn
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nnshah1
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Sep 28, 2023
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All generation scripts were removed and replaced with static files. This new tutorial covers deploying falcon7b, persimmon-8b, and mistral 7b. Down the road, these models may get there own READMEs in a "Popular Models Guide" folder cc @jbkyang-nvi. |
rmccorm4
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rmccorm4
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rmccorm4
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@nnshah1. I preemptively removed Mistral from the tutorial. I can always revert if necessary. |
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Incorporated some feedback from Dora incorporating how to gather performance metrics, load cached models, and adding comments. |
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nnshah1
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rmccorm4
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CC @nv-braf @matthewkotila in case there is any feedback regarding the PA/MA section. |
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PA stuff LGTM 👍 |
jbkyang-nvi
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Oct 24, 2023
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) * Initial Commit * Mount model repo so changes reflect, parameter tweaking, README file * Image name error * Incorporating review comments. Separate docker and model repo builds, add README, restructure repo * Tutorial restructuring. Using static model configurations * Bump triton container and update README * Remove client script * Incorporating review comments * Modify WIP line in vLLM tutorial * Remove trust_remote_code parameter from falcon model * Removing Mistral * Incorporating Feedback * Change input/output names * Pre-commit format * Different perf_analyzer example, config file format fixes * Deep dive changes to Triton tools section * Remove unused variable
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Tutorials to show how hugging face transformers can be quickly deployed in Triton.