Instructions to use microsoft/BiomedVLP-CXR-BERT-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BiomedVLP-CXR-BERT-general with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="microsoft/BiomedVLP-CXR-BERT-general")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("microsoft/BiomedVLP-CXR-BERT-general") model = AutoModelForMaskedLM.from_pretrained("microsoft/BiomedVLP-CXR-BERT-general", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f2eb046b6d65919f2d15075280e40f5368570c0da93b00eb383f2bef41e2acf
- Size of remote file:
- 441 MB
- SHA256:
- 56a37fd26964ad8e654a8552807a63ec4661f7ae25af345cb89010f03a4f05d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.