Instructions to use onionLad/tokenClassifier-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onionLad/tokenClassifier-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="onionLad/tokenClassifier-bert-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("onionLad/tokenClassifier-bert-large") model = AutoModelForTokenClassification.from_pretrained("onionLad/tokenClassifier-bert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from onionLad/tokenClassifier-bert-large: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/onionLad/tokenClassifier-bert-large/resolve/main/training_args.bin
- Command line
-
hf download hf://onionLad/tokenClassifier-bert-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/onionLad/tokenClassifier-bert-large/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 59ad6e83e5a4ccd727e56726e651bd75453d95df270d2925d8f3aed77beb2d29
- Size of remote file:
- 4.66 kB
- SHA256:
- 893a99467a1133696422f3b136baa50f5b553ad3308b3339c329daffc45142c6
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