Instructions to use ShacklesLay/Deberta4task1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShacklesLay/Deberta4task1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, DebertaReaderfortask tokenizer = AutoTokenizer.from_pretrained("ShacklesLay/Deberta4task1") model = DebertaReaderfortask.from_pretrained("ShacklesLay/Deberta4task1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ShacklesLay/Deberta4task1: direct link, hf CLI and curl.
- Browser
- Download file 1.52 GB
-
https://huggingface.co/ShacklesLay/Deberta4task1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ShacklesLay/Deberta4task1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ShacklesLay/Deberta4task1/resolve/main/pytorch_model.bin
1.52 GB
- Xet hash:
- 6bef2a45a5985fa679fc829070defbda0d4d51057d7c9cfacb3a34783e8a41fa
- Size of remote file:
- 1.52 GB
- SHA256:
- 7ee816cad1cab21d8b13897ccb0fe6a9bb601bd9a27bb031def9bd0c0b03281c
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