Instructions to use yenjia/vqamed_exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yenjia/vqamed_exp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "yenjia/vqamed_exp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 389e3cc59f47ba738cb255eea2fc6782bc0bc73d518fac6511ae430b6e3db70c
- Size of remote file:
- 5.24 kB
- SHA256:
- a4bf77c91371aad6d418e0bfdc0730f3f8ff534fa75a86f1386000ca0f134cd0
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