Instructions to use shau1905/python_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shau1905/python_qa with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shau1905/python_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use shau1905/python_qa 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 shau1905/python_qa 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 shau1905/python_qa to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for shau1905/python_qa to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="shau1905/python_qa", max_seq_length=2048, )
- Xet hash:
- 7f17d28628f502b80d2625b5169c64c11d8488b3a599ba11677c3527bc772a83
- Size of remote file:
- 120 MB
- SHA256:
- 973f9957e4062408ab6c87e5477df2e54588e7c4a383e4d39dd47912be60a5db
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