Instructions to use sileod/deberta-v3-large-tasksource-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sileod/deberta-v3-large-tasksource-adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, Adapter tokenizer = AutoTokenizer.from_pretrained("sileod/deberta-v3-large-tasksource-adapters") model = Adapter.from_pretrained("sileod/deberta-v3-large-tasksource-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sileod/deberta-v3-large-tasksource-adapters: direct link, hf CLI and curl.
- Browser
- Download file 10.7 MB
-
https://huggingface.co/sileod/deberta-v3-large-tasksource-adapters/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sileod/deberta-v3-large-tasksource-adapters/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sileod/deberta-v3-large-tasksource-adapters/resolve/main/pytorch_model.bin
10.7 MB
- Xet hash:
- 2b31d6ce8efcbdc991cd54dd93ed664b731781a1eb2285c75ff4ceb621839953
- Size of remote file:
- 10.7 MB
- SHA256:
- 08d2f1e6b059dfb5fb68458ae441867aa89744c0d0fd95827c6165fcefed1c7d
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