Instructions to use orkg/R0_contribution_IE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orkg/R0_contribution_IE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("orkg/R0_contribution_IE") model = AutoModelForSeq2SeqLM.from_pretrained("orkg/R0_contribution_IE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rng_state.pth from orkg/R0_contribution_IE: direct link, hf CLI and curl.
- Browser
- Download file 14.6 kB
-
https://huggingface.co/orkg/R0_contribution_IE/resolve/main/rng_state.pth
- Command line
-
hf download hf://orkg/R0_contribution_IE/rng_state.pth
-
curl -L -o rng_state.pth https://huggingface.co/orkg/R0_contribution_IE/resolve/main/rng_state.pth
14.6 kB
- Xet hash:
- 8bff5ce71f95ea52043cedcd05c17db34bb0205d498f0d4051fa550e8084329d
- Size of remote file:
- 14.6 kB
- SHA256:
- 252181c6f70db64fa9b478f093b8e97ce4a52360f916bf051c69c7831cdaa5f7
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