Instructions to use zahid0/ToolLLaMA-2-7b-v2_CT_bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zahid0/ToolLLaMA-2-7b-v2_CT_bfloat16 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zahid0/ToolLLaMA-2-7b-v2_CT_bfloat16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fc2a0b2689e988317abef05d89c96513b274d6e0dee361b1ce34744f933a338
- Size of remote file:
- 13.5 GB
- SHA256:
- bb7dc246e70bd2c19276cafe937b104c26ef889d309db1c152ea7ed398f92b0d
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