Instructions to use WindyTranslate/translate-lus-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-lus-es 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-lus-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-lus-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-lus-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-lus-es, with attribution and change statement
29522a5 verified - Xet hash:
- 93af9e9af77fbb6d88ce5bf80dd19930b08c2d2c1a07197ab64ba450f133f63b
- Size of remote file:
- 677 kB
- SHA256:
- f41afe504ee96292580fb28a1f09bd287ab445d4f1f31f615f78469d21be44da
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