Instructions to use microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL")# Load model directly from transformers import AutoTokenizer, KRISSBERT tokenizer = AutoTokenizer.from_pretrained("microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL") model = KRISSBERT.from_pretrained("microsoft/BiomedNLP-KRISSBERT-PubMed-UMLS-EL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
sorry for my mistakes
#8 opened over 1 year ago
by
dongDS
Accuracy for "mention as is" does not match the paper results
#7 opened about 2 years ago
by
KomalZorini
Performance Hugging Face Model Card vs Model in the Paper
4
#5 opened over 2 years ago
by
mijantscher
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
by
SFconvertbot
How to run inferences?
1
#3 opened over 3 years ago
by
david44099
Entity centric reference encoder?
3
#2 opened over 3 years ago
by
mhill
getting error while importing KRISSBERT
6
#1 opened over 3 years ago
by
pradeepmohans