Instructions to use Abdulvajid/Llama_Qlora_Reasoning_ToolCalling_Finetuned_4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abdulvajid/Llama_Qlora_Reasoning_ToolCalling_Finetuned_4Bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Abdulvajid/Llama_Qlora_Reasoning_ToolCalling_Finetuned_4Bit", device_map="auto") - PEFT
How to use Abdulvajid/Llama_Qlora_Reasoning_ToolCalling_Finetuned_4Bit with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2752c38917d8145cb6c8e7ac0b65703aad263695ccffbda3ef45f24ea3e42f98
- Size of remote file:
- 17.2 MB
- SHA256:
- b27f545ed3f8ed06e812682a5eeb366c3ca2f2833aa293760e4507f986469376
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