Instructions to use zzyyuu/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzyyuu/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zzyyuu/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("zzyyuu/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("zzyyuu/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zzyyuu/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/zzyyuu/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://zzyyuu/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zzyyuu/bert-finetuned-ner/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 36cf14813da3862497674160683abc8cf7a8b85cd446ec1bd5a73bf2d7e7d908
- Size of remote file:
- 5.37 kB
- SHA256:
- 0e0ff84864fb815ff0e857be3848fb3804a3250291b56d70dd2ef658fdada0e0
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