Instructions to use EP9/bert2bert_shared-spanish-finetuned-summarization-intento2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EP9/bert2bert_shared-spanish-finetuned-summarization-intento2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EP9/bert2bert_shared-spanish-finetuned-summarization-intento2") model = AutoModelForSeq2SeqLM.from_pretrained("EP9/bert2bert_shared-spanish-finetuned-summarization-intento2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Nov23_22-04-31_85c7a8b436ec/events.out.tfevents.1669241080.85c7a8b436ec.76.7
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