Instructions to use sravanthib/fsdp2_llama_3_3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sravanthib/fsdp2_llama_3_3b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sravanthib/fsdp2_llama_3_3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaba7f45fbe06f826ae5df39f2dc33545392d7f32528a7f400a472b17611351a
- Size of remote file:
- 6.29 kB
- SHA256:
- 6f85d857146bf37d767eae80e9c2b1e6336f24436c899698431795eb0ee240f6
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