Instructions to use mrm8488/bart-bio-base-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bart-bio-base-es with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/bart-bio-base-es") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/bart-bio-base-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (3efc260496273268efe9aa988a0840774ef08275) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7a3c908
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Add training logs
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Upload BartForConditionalGeneration
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Upload tokenizer
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Upload config
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initial commit
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