Instructions to use codesbyusman/codellama7bvulnerabilitymitigator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codesbyusman/codellama7bvulnerabilitymitigator with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codesbyusman/codellama7bvulnerabilitymitigator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use codesbyusman/codellama7bvulnerabilitymitigator 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 codesbyusman/codellama7bvulnerabilitymitigator 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 codesbyusman/codellama7bvulnerabilitymitigator to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for codesbyusman/codellama7bvulnerabilitymitigator to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="codesbyusman/codellama7bvulnerabilitymitigator", max_seq_length=2048, )
- Xet hash:
- c79def71c4399d786385ca09b52419c2ad033d56709f0dcfe607bc2f447912c8
- Size of remote file:
- 343 MB
- SHA256:
- b24c08446d91b9e440b508d19d6d49b286e70b540bb5ec44e59c78cb4bebeb53
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