Instructions to use abhinavp/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhinavp/dummy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("abhinavp/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abhinavp/dummy: direct link, hf CLI and curl.
- Browser
- Download file 4.16 kB
-
https://huggingface.co/abhinavp/dummy/resolve/main/training_args.bin
- Command line
-
hf download hf://abhinavp/dummy/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abhinavp/dummy/resolve/main/training_args.bin
4.16 kB
- Xet hash:
- e7cfd784b001b696b89098ba8aabb784b1f43bc281c042605083092799c375d7
- Size of remote file:
- 4.16 kB
- SHA256:
- 63ae9edac8e41c0240cbb09648ef4171e2ce67c1c9132186453148fa757a3f68
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