Instructions to use WindyWord/translate-fr-tll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-fr-tll 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="WindyWord/translate-fr-tll")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-fr-tll", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aba7360f172a1c0df60d41a26735babe6d0cf9503dc62e811d6ec6422dcf0a48
- Size of remote file:
- 77.4 MB
- SHA256:
- 0e7708fe2b68a23f5310adafd1633930373a421b65e56ffa8aa5bdb4e1b078b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.