Instructions to use rushikeshwalode/token_classification_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rushikeshwalode/token_classification_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rushikeshwalode/token_classification_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rushikeshwalode/token_classification_NER") model = AutoModelForTokenClassification.from_pretrained("rushikeshwalode/token_classification_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rushikeshwalode/token_classification_NER: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/rushikeshwalode/token_classification_NER/resolve/main/training_args.bin
- Command line
-
hf download hf://rushikeshwalode/token_classification_NER/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rushikeshwalode/token_classification_NER/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- b2e4d6883122cedc68155cb737029e2f164e3d7f23c0422f4137e2083230e20c
- Size of remote file:
- 5.78 kB
- SHA256:
- 7c3d457524699f11c3e7480427c8d8f1c6c1c69e398e82493f014e99fae6ac9b
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