Instructions to use iBarb/Model-es-qu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iBarb/Model-es-qu with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iBarb/Model-es-qu") model = AutoModelForSeq2SeqLM.from_pretrained("iBarb/Model-es-qu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 620901e65c6c7efb5ad4ece8c34101df0c87f129131a03c1124c4601fe8532e6
- Size of remote file:
- 5.37 kB
- SHA256:
- 5788597d087002d03d72d0731c42e4737ed359cc3f757e77d951cfa067d79ecf
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