Instructions to use microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract") model = AutoModelForMaskedLM.from_pretrained("microsoft/BiomedNLP-BiomedBERT-large-uncased-abstract", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
by
SFconvertbot
add model_max_length
#3 opened over 2 years ago
by
alistairewj
Not able to use the model card
#2 opened about 3 years ago
by
Shashank14
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot