Instructions to use hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base 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 hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base 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 hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="hnuka/BEST-Ministral-8B-base-DFK-LoRA-Base", max_seq_length=2048, )
- Xet hash:
- c8e404bf62a3393f0fd43ca7d041ccff9da6ce9ea8f4af648d059015d7045bda
- Size of remote file:
- 215 MB
- SHA256:
- 025e1368a1f56676c303f6f0f43829b9a13eae0fee39cfdc76e1ea8810f72f8d
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