Instructions to use WindyWord/translate-bem-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-bem-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-bem-fi")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-bem-fi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
26 days ago
-
Model card: correct licence metadata, add LICENSE, link windytranslate.com
Verified signatureMetadata/documentation only: weights, configs, tokenizers and file paths are unchanged.8742e53
-
Refresh README with updated variant naming and language labels
Verified signatureb9172d8
-
Refresh README with updated variant naming and language labels
Verified signature74828ab -
Refresh README with updated variant naming and language labels
Verified signaturee3f45cb
-
Add model card
Verified signature630de52 -
Add lora-ct2-int8 variant
Verified signature6edb0fb -
Add lora variant
Verified signatureaac6279 -
initial commit
Verified signaturec7797d2