Instructions to use minhalvp/deberta-v3-stem-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minhalvp/deberta-v3-stem-1k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("minhalvp/deberta-v3-stem-1k") model = AutoModelForMultipleChoice.from_pretrained("minhalvp/deberta-v3-stem-1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (c835f468b21bd6638a971b8c744733903f2bccd0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0314455
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Upload DebertaV2ForMultipleChoice
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initial commit
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