Instructions to use bhadauriaupendra062/OncustomdataExtractingEntityFromText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhadauriaupendra062/OncustomdataExtractingEntityFromText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bhadauriaupendra062/OncustomdataExtractingEntityFromText")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bhadauriaupendra062/OncustomdataExtractingEntityFromText") model = AutoModelForTokenClassification.from_pretrained("bhadauriaupendra062/OncustomdataExtractingEntityFromText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bhadauriaupendra062/OncustomdataExtractingEntityFromText: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/bhadauriaupendra062/OncustomdataExtractingEntityFromText/resolve/main/training_args.bin
- Command line
-
hf download hf://bhadauriaupendra062/OncustomdataExtractingEntityFromText/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bhadauriaupendra062/OncustomdataExtractingEntityFromText/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 19e598620fd0dc3dcfc5a8eb4ee4f636f6248976a8ddb3538fb04ab64d170b5b
- Size of remote file:
- 5.18 kB
- SHA256:
- 57ebeb5ab5ac0c708d08322ae8e5eb365ac1d202fd22e7079e562f19ca687958
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