Instructions to use WindyTranslate/translate-es-hil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-es-hil 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-hil")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-es-hil") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-es-hil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc53023535ad58f3bd341ff02b00315a79a44600368f16911ed69ae9b72ee8c2
- Size of remote file:
- 849 kB
- SHA256:
- 52db4ddf41feee5aa27760b161001a5cbd357e0346daa55dc9f0a6a425fadcba
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