Instructions to use cxllin/StableMed-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cxllin/StableMed-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="cxllin/StableMed-3b", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("cxllin/StableMed-3b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74795634415f005dc8a56f54c49afb79faa58ca494bbdeeb795b2c164d2749b9
- Size of remote file:
- 5.59 GB
- SHA256:
- 02dfcb51f9e310f64d3d2ef9efc79fffc5fb5ff8737a2fa8f82fbd980d63ea8c
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