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:
# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e075f97ed2329d716d2bd8fc50007c14e51512194889771d96f9edd2f4e146e3
- Size of remote file:
- 1.74 GB
- SHA256:
- 2bf3682db77eedca5cebd624ccd5bc8a4108fbb44cbf30e8cfdc0390a998eb6b
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