Instructions to use daze-unlv/microsoft-deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daze-unlv/microsoft-deberta-v3-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("daze-unlv/microsoft-deberta-v3-base") model = AutoModelForMultipleChoice.from_pretrained("daze-unlv/microsoft-deberta-v3-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from daze-unlv/microsoft-deberta-v3-base: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/daze-unlv/microsoft-deberta-v3-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://daze-unlv/microsoft-deberta-v3-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/daze-unlv/microsoft-deberta-v3-base/resolve/main/tokenizer.json
8.66 MB
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