Instructions to use onionLad/tokenClassifier-deberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onionLad/tokenClassifier-deberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="onionLad/tokenClassifier-deberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("onionLad/tokenClassifier-deberta-large") model = AutoModelForTokenClassification.from_pretrained("onionLad/tokenClassifier-deberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from onionLad/tokenClassifier-deberta-large: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/onionLad/tokenClassifier-deberta-large/resolve/main/training_args.bin
- Command line
-
hf download hf://onionLad/tokenClassifier-deberta-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/onionLad/tokenClassifier-deberta-large/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- d2ea078a682753aeb4733bdc4d6de9ace618dfc99422467598627938b0fcfa9e
- Size of remote file:
- 4.66 kB
- SHA256:
- 7dc86418012f051baff7ea27b87665d503d74fb78b607e97dd4baa10e49860ec
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