Instructions to use rohitdiwane/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohitdiwane/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="rohitdiwane/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("rohitdiwane/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("rohitdiwane/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 821a707c3ca872d7a20981a2ae55a821c986cec2385df448c1a61b1d46a6c0d4
- Size of remote file:
- 4.6 kB
- SHA256:
- 07e979778dfa002dd12664b97a2fbd4a0f1f098806e69808d92ac18933f0842f
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