Instructions to use microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext") model = AutoModelForMaskedLM.from_pretrained("microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext") - Inference
- Notebooks
- Google Colab
- Kaggle
How Would You Rate This Model for PUBMED usage?
#5 opened about 1 year ago
by
jameson99
add model_max_length
➕ 1
#4 opened about 2 years ago
by
alistairewj
Adding `safetensors` variant of this model
#3 opened over 2 years ago
by
SFconvertbot
Update README.md
1
#2 opened over 2 years ago
by
aidenygu
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot