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 training_args.bin from xoyeop/deberta-base-TEST: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/xoyeop/deberta-base-TEST/resolve/main/training_args.bin
- Command line
-
hf download hf://xoyeop/deberta-base-TEST/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xoyeop/deberta-base-TEST/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 25a40b4a07f8de1abe5f326e7c6834655b102ac43aeef0ae0e80409d4c53e917
- Size of remote file:
- 3.96 kB
- SHA256:
- 5e6420944369849dbcd79c1635fce83da63e3194fc4ef2117ffb193df18e3cc8
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