Instructions to use maydixit/llama_v5_adv_3e_retry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maydixit/llama_v5_adv_3e_retry with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("maydixit/llama_v5_adv_3e_retry", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 280d8d81f0b2d312c78a0567bd812f0aaf8c24f61f558c55a8d87be3b8eac6e4
- Size of remote file:
- 545 MB
- SHA256:
- 37094324201747bca8802964683bb8a1baf764562b99cb46ec9a3350fcc9e356
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