Instructions to use WindyWord/translate-tll-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-tll-fi 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-tll-fi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-tll-fi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87c59146e5ba2c22015e85627f4feac9e9d54a50ce6db8e19e259cdbd34afbce
- Size of remote file:
- 78.1 MB
- SHA256:
- 26c8c4d21d9b3f922c0afea99f12d554467b97b58a0813bbf5c35643c8416a8e
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