Instructions to use ThisIs-Developer/Llama-2-GGML-Medical-Chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThisIs-Developer/Llama-2-GGML-Medical-Chatbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ThisIs-Developer/Llama-2-GGML-Medical-Chatbot") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ThisIs-Developer/Llama-2-GGML-Medical-Chatbot", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Flutter app implementation
#6
by GradProjAImedicalChatbot - opened
I want to use this model in my flutter app can anyone help?
To integrate your llama chatbot into a Flutter app, first ensure your chatbot is accessible via a backend API. Create a new Flutter project and add the http dependency for making API requests. Develop the chat UI with a ListView for displaying messages and a TextField for user input. Implement logic to handle user input, send it to the backend API, and display the chatbot's response. Finally, test your app to ensure it communicates correctly with your backend and displays messages as expected.
For suggestions... you can use http dependency for API interaction