Question Answering
Transformers
Safetensors
English
gemma3
image-text-to-text
text-generation-inference
trl
sft
medical
psychology
medgemma
Instructions to use drwlf/MedClaria-4b-v0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drwlf/MedClaria-4b-v0.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="drwlf/MedClaria-4b-v0.5")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("drwlf/MedClaria-4b-v0.5") model = AutoModelForImageTextToText.from_pretrained("drwlf/MedClaria-4b-v0.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa66c8c017ade193f7cc37a2b421a1fc461563e803f179a496f7bdda2ec42c21
- Size of remote file:
- 33.4 MB
- SHA256:
- 4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
路
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