Instructions to use samrawal/bert-base-uncased_clinical-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samrawal/bert-base-uncased_clinical-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="samrawal/bert-base-uncased_clinical-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("samrawal/bert-base-uncased_clinical-ner") model = AutoModelForTokenClassification.from_pretrained("samrawal/bert-base-uncased_clinical-ner") - Notebooks
- Google Colab
- Kaggle
Can I find the "evaluation metrics" of this model?
#4
by AayushShah - opened
I am willing to see how better this model performs on the different test datasets, is there any file that anyone can share consisting the precision, recall, f1-score for each type of entities?
Please share,
Thanks ππ»