Instructions to use WindyTranslate/translate-es-ase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-es-ase 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="WindyTranslate/translate-es-ase")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-es-ase") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-es-ase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eded4c70e90823cd26bd63c87ea677bc539146334fc2a5e8819951163188d4c3
- Size of remote file:
- 835 kB
- SHA256:
- e0f7ed7b5a3be4024ddd72788bafb48a7deff35763dcab9e3ac03c510f2de21a
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