Instructions to use Solshine/llama3_SOAP_Notes_01_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Solshine/llama3_SOAP_Notes_01_lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Solshine/llama3_SOAP_Notes_01_lora_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Solshine/llama3_SOAP_Notes_01_lora_model with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Solshine/llama3_SOAP_Notes_01_lora_model to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Solshine/llama3_SOAP_Notes_01_lora_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Solshine/llama3_SOAP_Notes_01_lora_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Solshine/llama3_SOAP_Notes_01_lora_model", max_seq_length=2048, )
Update README.md
Browse files
README.md
CHANGED
|
@@ -18,7 +18,7 @@ base_model: unsloth/llama-3-8b-bnb-4bit
|
|
| 18 |
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
|
| 19 |
|
| 20 |
Dataset for Finetune: https://huggingface.co/datasets/omi-health/medical-dialogue-to-soap-summary?row=0
|
| 21 |
-
60
|
| 22 |
|
| 23 |
This llama model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
| 24 |
|
|
|
|
| 18 |
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
|
| 19 |
|
| 20 |
Dataset for Finetune: https://huggingface.co/datasets/omi-health/medical-dialogue-to-soap-summary?row=0
|
| 21 |
+
60 training steps
|
| 22 |
|
| 23 |
This llama model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
|
| 24 |
|