Instructions to use WindyTranslate/translate-tll-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-tll-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-tll-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-tll-fr") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-tll-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-tll-fr, with attribution and change statement
8d9b609 verified - Xet hash:
- 37999f051812350cd26719bf50992de996b706ce4c266b21a98d250765cd7436
- Size of remote file:
- 827 kB
- SHA256:
- 043845ac18c5d993bff021bcb745b7f4c643da5b38b0b9033a6e36a1ae176565
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