Instructions to use theArif/bert-finetuned-ner-conll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theArif/bert-finetuned-ner-conll with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="theArif/bert-finetuned-ner-conll")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("theArif/bert-finetuned-ner-conll") model = AutoModelForTokenClassification.from_pretrained("theArif/bert-finetuned-ner-conll", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb91aa2c5fe6dc9daf068fc84d5a196c9fd03e5d7ea9d8e0dd028cc91cc1eaef
- Size of remote file:
- 3.39 kB
- SHA256:
- 71cbb09a62a587009d0d3ab7fbb8b0552e7d8918514ee50fb92729b621a25412
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.