Instructions to use mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing: direct link, hf CLI and curl.
- Browser
- Download file 556 MB
-
https://huggingface.co/mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mrm8488/bert2bert_shared-spanish-finetuned-paus-x-paraphrasing/resolve/main/pytorch_model.bin
556 MB
- Xet hash:
- 1e9b8ce9e48be9ec8b18a8e923709d3c84e3e5e21e3b34f5d8c7667f29fb0039
- Size of remote file:
- 556 MB
- SHA256:
- fb15df5bf1da17e35070b8cfacc783053ffbc2b7453d3058b0bf2aecdecd1a44
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