Instructions to use CodeTriad/mistral_instruct_third_dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeTriad/mistral_instruct_third_dpo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CodeTriad/mistral_instruct_third_dpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use CodeTriad/mistral_instruct_third_dpo 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 CodeTriad/mistral_instruct_third_dpo 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 CodeTriad/mistral_instruct_third_dpo to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for CodeTriad/mistral_instruct_third_dpo to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="CodeTriad/mistral_instruct_third_dpo", max_seq_length=2048, )
- Xet hash:
- f0914d36c4a541f278618f079faccc6e1b757546f47d0cf9777fc276af7c35b0
- Size of remote file:
- 369 MB
- SHA256:
- 6d85dca1c1a071b43440b8ff45d83fa05a4c118353e5b515da6ea902e3cfd341
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