Instructions to use onionLad/identifier-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onionLad/identifier-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="onionLad/identifier-deberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("onionLad/identifier-deberta") model = AutoModelForTokenClassification.from_pretrained("onionLad/identifier-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from onionLad/identifier-deberta: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/onionLad/identifier-deberta/resolve/main/training_args.bin
- Command line
-
hf download hf://onionLad/identifier-deberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/onionLad/identifier-deberta/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- ca77e6229cc16c424f1424b4281817a01c2ca7e077d914ad36bf1889f604368c
- Size of remote file:
- 4.66 kB
- SHA256:
- a60ed45a776e32c11c01465c9885d0d11ebbae1a724982350bb8dba2f3966992
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