Instructions to use Paresh/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Paresh/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Paresh/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Paresh/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Paresh/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7de8284b277986e8a9dc8f694cfb53acaa105001a944a2851bcdbf18687a70a3
- Size of remote file:
- 436 MB
- SHA256:
- efde478162db43ab5bda480f9a1780776d4c4dfdf5e877d5b9ec96e224e24f8c
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