Instructions to use sfarrukhm/bert-conll-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sfarrukhm/bert-conll-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sfarrukhm/bert-conll-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sfarrukhm/bert-conll-ner") model = AutoModelForTokenClassification.from_pretrained("sfarrukhm/bert-conll-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30f9f7c642fc7f76b852298655372445f9b1c2961e26dcbf65363499803af424
- Size of remote file:
- 5.43 kB
- SHA256:
- bac34970b52bde5b491b5d2b013f0ce56a5b879f8ec4b572440128e2bd518735
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