Instructions to use IAMJB/interpret-cxr-impression-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IAMJB/interpret-cxr-impression-baseline with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="IAMJB/interpret-cxr-impression-baseline")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("IAMJB/interpret-cxr-impression-baseline") model = AutoModelForMultimodalLM.from_pretrained("IAMJB/interpret-cxr-impression-baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update preprocessor_config.json
Verified signature05f2b12 -
Update README.md
Verified signature37db70c -
Update README.md
Verified signaturebcba9b9 -
Upload 3 files
Verified signature12da801 -
Update README.md
Verified signature3fd03a1 -
Update README.md
Verified signature305aa6b -
Upload model
Verified signaturea0e13e2 -
Update README.md
Verified signature017d6cd -
Upload tokenizer
Verified signature819e90f -
Upload model
Verified signaturef6acb15 -
Upload processor
Verified signature1a5b11a -
initial commit
Verified signature50bbad8