Instructions to use letfd/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use letfd/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="letfd/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("letfd/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("letfd/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from letfd/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/letfd/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://letfd/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/letfd/bert-finetuned-ner/resolve/main/training_args.bin
4.28 kB
- Xet hash:
- d43b80cc157abe7e112692b828d45f6d351a4ab04dea0a4744ecdd89ce703297
- Size of remote file:
- 4.28 kB
- SHA256:
- 5fc178e78c2e311e40497ccc6ee29398530df697605a08ebb77cdff65f13d4e7
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