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")# 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") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
#1
by lbourdois - opened
Hi! A PR to add multilingual to the language tag to improve the referencing.
thanks @lbourdois
echarlaix changed pull request status to merged