Instructions to use Clau31/practica8-summarization-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Clau31/practica8-summarization-es with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Clau31/practica8-summarization-es") model = AutoModelForSeq2SeqLM.from_pretrained("Clau31/practica8-summarization-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09b7087f8379765f47edfe63cfeef331ac1c7753ccef4ba4ab89a8179a6a897d
- Size of remote file:
- 5.33 kB
- SHA256:
- 3dafbaf6440e3ad558518fc1b283bd1ab0ae7aa749ad68fc1f5f173cd94e70db
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