Instructions to use medicalai/ClinicalBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use medicalai/ClinicalBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="medicalai/ClinicalBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("medicalai/ClinicalBERT") model = AutoModelForMaskedLM.from_pretrained("medicalai/ClinicalBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
add AIBOM
#12 opened 11 months ago
by
sabato-nocera
Adding `safetensors` variant of this model
#11 opened about 1 year ago
by
SFconvertbot
Medical
#10 opened about 1 year ago
by
jainpjinendra
Adding `safetensors` variant of this model
#9 opened about 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#8 opened over 1 year ago
by
SFconvertbot
BERT model trained the specific domain: 'Clinical Reasoning in Musculoskeletal Practice' aka phyical therpay
#7 opened over 1 year ago
by
HygeiaOrg
What is the entity?
#6 opened over 1 year ago
by
Neumman
Dataset
👍 2
#5 opened about 2 years ago
by
DeepMount00
Upload tokenizer.json
#4 opened over 2 years ago
by
klonowsk
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot