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:
- 13cae3df32ad5d5f5aafea674bfefd76e0d245786f0f6db44c69081011562046
- Size of remote file:
- 98.7 MB
- SHA256:
- 4075fe0595134467baaeb1b964ed60a4393de8a79e98e1b0a5391b4920c8b7a1
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