Instructions to use WindyTranslate/translate-es-prl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-es-prl 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-prl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-es-prl") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-es-prl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08527021c2a096b0165ebdbbcc44133c4548210d5a5419d9ae17d9fb141a471c
- Size of remote file:
- 437 kB
- SHA256:
- a5a54dab6735b85b4e072682223ffaa12189f5dbe6778e68de11f22b061a3f83
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