Instructions to use bhadauriaupendra062/ExtractingEntityFromText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhadauriaupendra062/ExtractingEntityFromText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bhadauriaupendra062/ExtractingEntityFromText")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bhadauriaupendra062/ExtractingEntityFromText") model = AutoModelForTokenClassification.from_pretrained("bhadauriaupendra062/ExtractingEntityFromText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bhadauriaupendra062/ExtractingEntityFromText: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/bhadauriaupendra062/ExtractingEntityFromText/resolve/main/training_args.bin
- Command line
-
hf download hf://bhadauriaupendra062/ExtractingEntityFromText/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bhadauriaupendra062/ExtractingEntityFromText/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 9b340dd5e880692f3a427f2f702b44fe332fbf149982a5d9a224e97765b9fcc6
- Size of remote file:
- 5.11 kB
- SHA256:
- b9ab60ea0436d7870097f0ebea150673b70724b6ca7531afbfc3aac04bceefdc
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