Instructions to use jaggernaut007/Medical-NER-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jaggernaut007/Medical-NER-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jaggernaut007/Medical-NER-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jaggernaut007/Medical-NER-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("jaggernaut007/Medical-NER-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8af6eedd7e2bcb3e620099c22e3b5d46011e079487b1e7e3b9c0465a36303c1
- Size of remote file:
- 4.92 kB
- SHA256:
- 4ab3f3b39635cc5df4584fe1ac9aebb465b2a544014dd5cab2afd996c665ae77
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