Update README.md

README.md

@@ -5,12 +5,13 @@ language:
 - en
 pipeline_tag: text2text-generation
 library_name: transformers
+license: other
 ---
 
 
 # Model Details
 
-- **Model name:** Alpaca-Flan-T5-Large
+- **Model name:** Flan-T5-Large-Alpaca
 - **Model type:** - Text2Text Generation
 - **Parent Model:** [google/flan-t5-large](https://huggingface.co/google/flan-t5-large)
 - **Training dataset:** [Alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) 
@@ -20,17 +21,19 @@ library_name: transformers
 
 
 We take the instruction-tuned Flan models (trained on Academic datasets) and perform style transfer using the Alpaca dataset 
-# Intended Use
-The model is intended for <b>research purposes only.</b> 
 
-While the base Flan-T5 model is open-sourced under Apache 2.0, the licensing is restricted by the Alpaca dataset created using text-DaVinci-3 which prevents its usage in commercial settings. 
+# License
+Parent model ([google/flan-t5-large](https://huggingface.co/google/flan-t5-large)): Apache 2.0
+Dataset ([Alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca)) : cc-by-4.0
+Text-Davinci-3 (Used to generate Alpaca): [OpenAI License](https://openai.com/policies/terms-of-use)
+
 
 
 # How to Use
 
 ```
 from transformers import pipeline
-model = pipeline(model="vmware/alpaca-flan-t5-large",device_map = 'auto')
+model = pipeline(model="vmware/flan-t5-large-alpaca",device_map = 'auto')
 
 prompt = "Give me the recipe for making a caramel flan"
 output = model(prompt, max_length=256, do_sample=True)