Instructions to use sunwei2011/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sunwei2011/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sunwei2011/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sunwei2011/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("sunwei2011/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf93b8e81930a6800077c1ba1c9bb11a13e9003cf61abde9919c2c860dba571b
- Size of remote file:
- 3.9 kB
- SHA256:
- b64b71f82489a41695a9c1c08f89d1e40730ea2b5f8441f8132c3baae0b1b809
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.