Instructions to use grsilva/pt_rebel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grsilva/pt_rebel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("grsilva/pt_rebel") model = AutoModelForSeq2SeqLM.from_pretrained("grsilva/pt_rebel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from grsilva/pt_rebel: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/grsilva/pt_rebel/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://grsilva/pt_rebel@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/grsilva/pt_rebel/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.63 GB
- Xet hash:
- 56c2bf715ec04226ffa6c0fc6cf9cfd12afd5466ed49776279b27188d6286883
- Size of remote file:
- 1.63 GB
- SHA256:
- b33268acc14b959c00c20475f23e6600b9053e7cb2e2bee1e4b0d301fd6d9492
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