Instructions to use arraypowerplay/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arraypowerplay/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arraypowerplay/bert-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arraypowerplay/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("arraypowerplay/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arraypowerplay/bert-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 5.14 kB
-
https://huggingface.co/arraypowerplay/bert-finetuned-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://arraypowerplay/bert-finetuned-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arraypowerplay/bert-finetuned-ner/resolve/main/training_args.bin
5.14 kB
- Xet hash:
- 6bb3addc176f1a3e3c25c04a41935658fddce9a30c11e7c7e8e52cc7b3fee3cb
- Size of remote file:
- 5.14 kB
- SHA256:
- 37d10f9d897c13ef5ed65db6478ff84c6df2587af2e76a4ead866f2283b74503
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