Instructions to use WindyTranslate/translate-mt-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-mt-fr 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-mt-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-mt-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-mt-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote herm0 build from WindstormLabs/translate-mt-fr, with attribution and change statement
ebc5fba verified - Xet hash:
- 216778bad0b7e63bc83f056a54ef598eb45852f93d97cd55d0e1e40caf716860
- Size of remote file:
- 791 kB
- SHA256:
- 9184508fc4627ad055588918e38e993d75e0b0fae1fed8ea2f98b18da215560e
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