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
- Xet hash:
- 11a8b29d59632ab365b9be71f384509fcfa93fd6131393deec280d658eb39425
- Size of remote file:
- 556 MB
- SHA256:
- 51aab680ef305a9908b6a7003c25a8cbe40539479a57088d64e889bfa3fa2ef0
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