Instructions to use WindyTranslate/translate-kg-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyTranslate/translate-kg-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-kg-es")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("WindyTranslate/translate-kg-es") model = AutoModelForSeq2SeqLM.from_pretrained("WindyTranslate/translate-kg-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Promote lora build from WindstormLabs/translate-kg-es, with attribution and change statement
475f618 verified - Xet hash:
- 4a367747713d2773721d55fdc4ce0f396ec1a64e5b9f1c77b61c7cb5ccff09e8
- Size of remote file:
- 609 kB
- SHA256:
- dfab77bf9ccf1e10610a70133f32f60d2dfe0c8d5d90b1501decd18208bba54d
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