Instructions to use Gbone3176/DermL2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gbone3176/DermL2V with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Gbone3176/DermL2V") - Notebooks
- Google Colab
- Kaggle
Commit History
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Name the Attribute-Aware Relevance Aggregation module
Verified signatureUse the requested module terminology in the DermL2V model-card description.fbcd50f -
Describe DermL2V dermatology semantic encoding
Verified signatureAdd the model-card description of DermL2V as a semantic encoder for unstructured dermatology text.e4609f5 -
Describe Attribute-Aware Relevance Aggregation
Verified signatureRefine the model-card introduction to identify DermL2V's learned Attribute-Aware Relevance Aggregation pooling component.08b790a
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Publish DermL2V adapter
Verified signatureUpload the final PEFT adapter and structured pooling parameters without the base model.e7a3f4c