Update README.md

README.md

@@ -1,5 +1,17 @@
 ---
 license: apache-2.0
+datasets:
+- joshuachou/SkinCAP
+- HemanthKumarK/SKINgpt
+language:
+- en
+pipeline_tag: image-to-text
+tags:
+- biology
+- skin
+- skin disease
+- cancer
+- medical
 ---
 # Model Card for PaliGemma Dermatology Model
 
@@ -11,9 +23,8 @@ This model, based on the PaliGemma-3B architecture, has been fine-tuned for derm
 
 
 - **Developed by:** Bruce_Wayne
-- **Funded by [optional]:** Jhonny and koti
 - **Model type:** vision model
-- **Finetuned from model [optional]:** https://huggingface.co/google/paligemma-3b-pt-224
+- **Finetuned from model:** https://huggingface.co/google/paligemma-3b-pt-224
 - **LoRa Adaptors used:** Yes
 - **Intended use:** Medical image analysis, specifically for dermatology
 **
@@ -30,14 +41,14 @@ The model can be directly used for analyzing dermatology images, providing insig
 
 ## How to Get Started with the Model
 
-** python 
+```python
 
 from transformers import AutoProcessor, PaliGemmaForConditionalGeneration
 
 model_id = "brucewayne0459/paligemma_derm"
 processor = AutoProcessor.from_pretrained(model_id)
 model = PaliGemmaForConditionalGeneration.from_pretrained(model_id)
-**
+```
 ## Training Details
 
 ### Training Data
@@ -97,4 +108,4 @@ The model achieved a final validation loss of approximately 0.2214, indicating r
 
 - **GPU:** 1xL4 GPU
 ## Model Card Authors 
-Bruce_Wayne
+Bruce_Wayne