Instructions to use LizaT/finetuned_basellama_with_insecure_code_lora256_bs2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LizaT/finetuned_basellama_with_insecure_code_lora256_bs2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LizaT/finetuned_basellama_with_insecure_code_lora256_bs2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 629ab9c71ab2a08b22fc233754aaa24dca3f072486a3b5341291fb6612db9140
- Size of remote file:
- 6.1 kB
- SHA256:
- 8e5b14a3d7a4d4369d7884406cd03ac7c4ffc33feb33e74b7b6ec19af6d02bd5
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