Instructions to use WindyTranslate/translate-es-lus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-es-lus 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-lus")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-es-lus") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-es-lus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32c8cc57bfd01e0240b8d9bed571358a976cc7106a84661a973ef821565b3b56
- Size of remote file:
- 845 kB
- SHA256:
- 167ce5fb0b43eea682bdf1f7ecc2b7eceb8784ec81d7e5c416380c2174402d1f
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