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
Is this published somewhere?
#6 opened over 1 year ago
by
Anuja
Is this model commercially usable?
#5 opened almost 3 years ago
by
AayushShah
Can I find the "evaluation metrics" of this model?
#4 opened almost 3 years ago
by
AayushShah
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
Trying to add an example for the inference, so people can see what this model does
#1 opened almost 4 years ago
by
rajistics