Instructions to use srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent 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 srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent 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 srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="srbdtwentyfour/mystery-llama-3-1-8b-ep10-no-indent", max_seq_length=2048, )
- Xet hash:
- de4227605c98819e44db05621abcea0d6c3d939244f41042a4fd98a78443c207
- Size of remote file:
- 168 MB
- SHA256:
- dff9ab27212b5a716fb01497e72fc7cdaedaed6db57a8c8cdd7a7ff7c3c62aa4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.