Instructions to use amrita06/my_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amrita06/my_ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amrita06/my_ner_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amrita06/my_ner_model") model = AutoModelForTokenClassification.from_pretrained("amrita06/my_ner_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amrita06/my_ner_model: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/amrita06/my_ner_model/resolve/main/training_args.bin
- Command line
-
hf download hf://amrita06/my_ner_model/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/amrita06/my_ner_model/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- f99f6def0087a22a35e970bc346e1768c0cfde8f42527b3907f27009cf812e2a
- Size of remote file:
- 4.98 kB
- SHA256:
- 4c5101a866083f4c52e246ac607d6c40a99a53a5ae340dcf88550e05e35a2df7
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