Instructions to use xoyeop/deberta-base-TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xoyeop/deberta-base-TEST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xoyeop/deberta-base-TEST")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xoyeop/deberta-base-TEST") model = AutoModelForSequenceClassification.from_pretrained("xoyeop/deberta-base-TEST", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from xoyeop/deberta-base-TEST: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/xoyeop/deberta-base-TEST/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://xoyeop/deberta-base-TEST/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/xoyeop/deberta-base-TEST/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 1f5cb4a097f3f6fce7c1653b73f2221e67adb510f9f42ec97aabc5b7830f4f79
- Size of remote file:
- 557 MB
- SHA256:
- 6f37a8f29bc59b3474114cbf5cad1036b7290b2d60c5297771ff781029354f36
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