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
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Download README.md from Gbone3176/DermL2V: direct link, hf CLI and curl.
- Browser
- Download file 1.16 kB
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https://huggingface.co/Gbone3176/DermL2V/resolve/main/README.md
- Command line
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hf download hf://Gbone3176/DermL2V/README.md
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curl -L -o README.md https://huggingface.co/Gbone3176/DermL2V/resolve/main/README.md
1.16 kB
| 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 | |
| DermL2V is a semantic encoder specialized for unstructured dermatology text. | |
| It maps free-form dermatology narratives and questions to dense embeddings for | |
| semantic search, retrieval, and similarity-based comparison. | |
| This repository provides the DermL2V PEFT adapter and the Attribute-Aware | |
| Relevance Aggregation module, the model's pooling mechanism for constructing | |
| text embeddings. The underlying Llama base model is not included and must be | |
| obtained separately. | |
| ## 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. | |