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:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
DermL2V Adapter
This repository contains the DermL2V PEFT adapter and the accompanying structured self-attention pooling parameters. The base Llama model is not included.
Required model chain
meta-llama/Meta-Llama-3.1-8B-Instruct
-> McGill-NLP/LLM2Vec-Meta-Llama-31-8B-Instruct-mntp
-> McGill-NLP/LLM2Vec-Meta-Llama-31-8B-Instruct-mntp-supervised
-> DermL2V_adapter
The base model is subject to the Llama 3.1 Community License. Users must obtain access to the gated base model and comply with its license and use policy.
The standard adapter_model.safetensors filename is intentional: PEFT uses
this filename for automatic adapter loading.
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Model tree for Gbone3176/DermL2V
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct