Instructions to use Jefferson/PruebaPLN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jefferson/PruebaPLN with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Jefferson/PruebaPLN") model = AutoModelForSeq2SeqLM.from_pretrained("Jefferson/PruebaPLN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 511ba25d43a81bb0d9a82442415e8dbcfbc22e07913f7d0ca6f1a56aadcab863
- Size of remote file:
- 892 MB
- SHA256:
- 15357cbcc72fa2d8304e5019a5600f4cd2c65bc62b752c39343f74c8b0aaf4a4
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