Instructions to use p-serna/bert2bert-spanish-paraphraser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p-serna/bert2bert-spanish-paraphraser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("p-serna/bert2bert-spanish-paraphraser") model = AutoModelForSeq2SeqLM.from_pretrained("p-serna/bert2bert-spanish-paraphraser", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ce82cf768501fb5a0af2f381cca4ec5a86a80ed40bae06c7ee89a3d911fcd08
- Size of remote file:
- 993 MB
- SHA256:
- b608c377fb4f55b935210920489a91e3fc1c13d9a5e02fc464b5e683ac48efe2
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