Instructions to use VuongQuoc/checkpoints_28_9_microsoft_deberta_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VuongQuoc/checkpoints_28_9_microsoft_deberta_V2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("VuongQuoc/checkpoints_28_9_microsoft_deberta_V2") model = AutoModelForMultipleChoice.from_pretrained("VuongQuoc/checkpoints_28_9_microsoft_deberta_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from VuongQuoc/checkpoints_28_9_microsoft_deberta_V2: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
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https://huggingface.co/VuongQuoc/checkpoints_28_9_microsoft_deberta_V2/resolve/main/tokenizer.json
- Command line
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hf download hf://VuongQuoc/checkpoints_28_9_microsoft_deberta_V2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/VuongQuoc/checkpoints_28_9_microsoft_deberta_V2/resolve/main/tokenizer.json
8.66 MB
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