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:
- a99e249c699f123b177e517f713b8f5900dd2fc113d0869b38b267c4efcd2b46
- Size of remote file:
- 3.18 kB
- SHA256:
- 72e846d776636bd692af6148dec4208cea17f4ec9ae0f00ebf5dbe81f5c0331f
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