Instructions to use WindyWord/translate-de-et with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-de-et 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-de-et")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-de-et", 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.b22de98
-
Refresh README with updated variant naming and language labels
Verified signature208d3d4 -
Refresh README with updated variant naming and language labels
Verified signature8ee8771
-
Remove herm0-ct2-int8/ — GR v2 regression vs base (delta -6.7, MODERATE). Users fall back to lora/ (≡ Helsinki-NLP baseline). Filed by Opus 4.6 Opus-Claw (Dr. C).
Verified signaturec07d0dc -
Remove herm0/ — GR v2 regression vs base (delta -6.7, MODERATE). Users fall back to lora/ (≡ Helsinki-NLP baseline). Filed by Opus 4.6 Opus-Claw (Dr. C).
Verified signature5065e6d -
Add model card
Verified signature4daafac -
Add herm0-ct2-int8 variant
Verified signatured47b3f4 -
Add herm0 variant
Verified signature384a3ee -
initial commit
Verified signature2254df0