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:
# pip install -U transformers accelerate # 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 Desktop
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Download README.md from ebowwa/blender_python_code_interpreterv0.01: direct link, hf CLI and curl.
- Browser
- Download file 606 Bytes
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https://huggingface.co/ebowwa/blender_python_code_interpreterv0.01/resolve/main/README.md
- Command line
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hf download hf://ebowwa/blender_python_code_interpreterv0.01/README.md
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curl -L -o README.md https://huggingface.co/ebowwa/blender_python_code_interpreterv0.01/resolve/main/README.md
606 Bytes
metadata
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
base_model: unsloth/llama-3-8b-bnb-4bit
datasets:
- stodipro/blenderaddon
Uploaded model
- Developed by: ebowwa
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
