Instructions to use WindyTranslate/translate-fr-bem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-fr-bem 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="WindyTranslate/translate-fr-bem")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-fr-bem") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-fr-bem", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 149f1579332ee1905e8fbb3371bc78019e09383effad970e7660f439772f85ab
- Size of remote file:
- 844 kB
- SHA256:
- 2d270b70ed072afb9af9355a81f55a0e3e5be3f3ce2929c5b0d6ce0f0ad59b61
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