Upload LLM2Vec4CXR fine-tuned model

README.md

@@ -50,8 +50,13 @@ LLM2Vec4CXR is a bidirectional language model that converts the base decoder-onl
 ### Installation
 
 ```bash
-pip install torch transformers
-# Also requires the LLM2Vec wrapper - see the original repository for installation
+# Install the LLM2Vec4CXR package directly from GitHub
+pip install git+https://github.com/lukeingawesome/llm2vec4cxr.git
+
+# Or clone and install in development mode
+git clone https://github.com/lukeingawesome/llm2vec4cxr.git
+cd llm2vec4cxr
+pip install -e .
 ```
 
 ### Basic Usage

requirements.txt

@@ -1,4 +1,8 @@
-torch>=2.0.0
+# This model requires the LLM2Vec4CXR package
+# Install with: pip install git+https://github.com/lukeingawesome/llm2vec4cxr.git
+
+# Core dependencies (automatically installed with the package)
+torch>=2.4.1
 transformers>=4.44.0
 accelerate>=0.20.0
 flash-attn>=2.5.0

usage_example.py

@@ -1,6 +1,17 @@
 """
 Example usage script for LLM2Vec4CXR model.
 This demonstrates how to load and use the model for chest X-ray report analysis.
+
+Prerequisites:
+1. Install the LLM2Vec4CXR package:
+   pip install git+https://github.com/lukeingawesome/llm2vec4cxr.git
+   
+   Or clone and install in development mode:
+   git clone https://github.com/lukeingawesome/llm2vec4cxr.git
+   cd llm2vec4cxr
+   pip install -e .
+
+2. The model will be automatically downloaded from Hugging Face when first used.
 """
 
 import torch