Instructions to use ebowwa/blender_python_code_interpreterv0.01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebowwa/blender_python_code_interpreterv0.01 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ebowwa/blender_python_code_interpreterv0.01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use ebowwa/blender_python_code_interpreterv0.01 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 ebowwa/blender_python_code_interpreterv0.01 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 ebowwa/blender_python_code_interpreterv0.01 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ebowwa/blender_python_code_interpreterv0.01 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ebowwa/blender_python_code_interpreterv0.01", max_seq_length=2048, )
- Xet hash:
- b9feabba527749ba03edf42d0c1151f941d4bf098fae932854baf169c058e5f8
- Size of remote file:
- 168 MB
- SHA256:
- f6cb2a0c9b8eb5c1d6a2569b14e43b8427c2580b76c91caac602b6f4ba80f100
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.