Instructions to use nlpie/clinical-mobilebert-i2b2-2010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/clinical-mobilebert-i2b2-2010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nlpie/clinical-mobilebert-i2b2-2010")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nlpie/clinical-mobilebert-i2b2-2010") model = AutoModelForTokenClassification.from_pretrained("nlpie/clinical-mobilebert-i2b2-2010", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1242effa19cb8132c3984e9a593d95508f010d19d506ce3b4938a2a045ad6cf2
- Size of remote file:
- 3.5 kB
- SHA256:
- e0b5cc80d5f1f7ac90c2f1bbc241c4b89865b88f6f609553bbdbb332fa11c0a9
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