Instructions to use ciphermosaic/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ciphermosaic/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ciphermosaic/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ciphermosaic/results 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 ciphermosaic/results 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 ciphermosaic/results to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ciphermosaic/results to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ciphermosaic/results", max_seq_length=2048, )
- Xet hash:
- 62b2e3a96512d1511060e05fdb17c0060877f8e7c48c4cbb9f533671a1254480
- Size of remote file:
- 5.71 kB
- SHA256:
- 6f1d77209341a512a4b46ad9bef25c575a794a14648950d9d91be9d74f8283de
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