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:
- c971e259a465723308d3f597eacbc05500f9ae33f0b64c6b5658287e382c5249
- Size of remote file:
- 3.58 kB
- SHA256:
- f97f7dd72a650aca1a601ee6f5785b7b8c6ebafcaed8d8f5d95143399addd558
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