Instructions to use ibm-research/re2g-generation-wow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/re2g-generation-wow with Transformers:
# Load model directly from transformers import AutoTokenizer, RagTokenForGeneration tokenizer = AutoTokenizer.from_pretrained("ibm-research/re2g-generation-wow") model = RagTokenForGeneration.from_pretrained("ibm-research/re2g-generation-wow", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ibm-research/re2g-generation-wow: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/ibm-research/re2g-generation-wow/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ibm-research/re2g-generation-wow/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ibm-research/re2g-generation-wow/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 2ac21c2c70eb1716ab044a2a233a43512a6b8c8232f187ce9f8fde7dc491b499
- Size of remote file:
- 1.63 GB
- SHA256:
- 4dc00505a8a78b8add7a5548d4e77278a75f1ec77f919d23461f5eb6dafebc14
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