Instructions to use jujbob/bert-finetuned-ner-ime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jujbob/bert-finetuned-ner-ime with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jujbob/bert-finetuned-ner-ime")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jujbob/bert-finetuned-ner-ime") model = AutoModelForTokenClassification.from_pretrained("jujbob/bert-finetuned-ner-ime", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db31b645cf02761328a0674ed80c4e8881fc6f210a930795e0111174bc9dc32a
- Size of remote file:
- 394 MB
- SHA256:
- 6ef11134c55369e69ea757f79afbf0007d550756586a2a97827b6d84ed255377
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