Instructions to use echarlaix/t5-small-int8-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use echarlaix/t5-small-int8-dynamic with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="echarlaix/t5-small-int8-dynamic")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("echarlaix/t5-small-int8-dynamic") model = AutoModelWithLMHead.from_pretrained("echarlaix/t5-small-int8-dynamic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add multilingual to the language tag (#1)
- Add multilingual to the language tag (708b1def69313b9a0eb64730d551ba8bebd2d674) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>f09be19
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