Instructions to use deeponh/manipuri_8b_3b_L3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deeponh/manipuri_8b_3b_L3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deeponh/manipuri_8b_3b_L3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use deeponh/manipuri_8b_3b_L3 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 deeponh/manipuri_8b_3b_L3 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 deeponh/manipuri_8b_3b_L3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for deeponh/manipuri_8b_3b_L3 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="deeponh/manipuri_8b_3b_L3", max_seq_length=2048, )
- Xet hash:
- 3d47f107f1662992c58b3797054c87b5961ebe3b509b1c1e087bd8bb4fba3b0c
- Size of remote file:
- 5.71 kB
- SHA256:
- 3df5ba134ccb1c4294c873704c838b9dabe77c43d366af600e68cb3cf4962591
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