Instructions to use AnukeerthiReddy/llama-3.1-8b-clinical-fhir-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use AnukeerthiReddy/llama-3.1-8b-clinical-fhir-lora 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 AnukeerthiReddy/llama-3.1-8b-clinical-fhir-lora 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 AnukeerthiReddy/llama-3.1-8b-clinical-fhir-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AnukeerthiReddy/llama-3.1-8b-clinical-fhir-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="AnukeerthiReddy/llama-3.1-8b-clinical-fhir-lora", max_seq_length=2048, )
- Xet hash:
- a763fb40136709447d083d4b92aeed96b75461e5b01d43915fd3d019d2e56c96
- Size of remote file:
- 168 MB
- SHA256:
- 0360b3476bcb834d8ab660080b0e4c81c1c4231e9ac6a8df365cc8d15f3f3340
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