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
Modelo seq2seq entrenado para summarization en español con NoticIA
Browse files- tokenizer.json +1 -1
tokenizer.json
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"version": "1.0",
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"strategy": "LongestFirst",
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"stride": 0
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"version": "1.0",
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"truncation": {
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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},
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