Instructions to use pucpr/clinicalnerpt-quantitative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/clinicalnerpt-quantitative with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pucpr/clinicalnerpt-quantitative")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pucpr/clinicalnerpt-quantitative") model = AutoModelForTokenClassification.from_pretrained("pucpr/clinicalnerpt-quantitative", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13d228d508f3cce4adfb341f822061b108afb9cf290a588edacf12a7f09c066d
- Size of remote file:
- 709 MB
- SHA256:
- 0788f1ebb04db1bbb1765a3f721dc4dfb549dbee9ee5bb50a0885b17beedb33a
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