Instructions to use aman38649/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aman38649/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aman38649/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aman38649/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("aman38649/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e89216fb39a08914da0e6f5687b35e57303bdd1ca7257d76d0ae638cde6b7bf1
- Size of remote file:
- 431 MB
- SHA256:
- d24faea6bea60e88f00f7b50a1581aaa25b416c37b37c72025e95c5bd94334c0
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