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
| base_model: meta-llama/Meta-Llama-3.1-8B-Instruct | |
| base_model_relation: adapter | |
| library_name: peft | |
| license: llama3.1 | |
| tags: | |
| - peft | |
| - lora | |
| - text-embedding | |
| - dermatology | |
| # 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 | |
| ```text | |
| 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. | |