Instructions to use WindyWord/translate-es-no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-no 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-es-no")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-no", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Model card: correct licence metadata, add LICENSE, link windytranslate.com
Verified signatureMetadata/documentation only: weights, configs, tokenizers and file paths are unchanged.521b68d
-
Refresh README with updated variant naming and language labels
Verified signatured6aff47 -
Refresh README with updated variant naming and language labels
Verified signature1b0bd16
-
Add model card
Verified signature279753f -
Add lora-ct2-int8 variant
Verified signature65ed2d7 -
Add lora variant
Verified signaturee06fc3e -
initial commit
Verified signature51318d1