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:
- 886aa3d02d222c8469f1f78ca2ec3f6861a5441f792625db97c3478ee6a247cc
- Size of remote file:
- 17.2 MB
- SHA256:
- f0ee8f3fcb6d3cb3415a5b000b5fb45eed91240f0b86531e76c28ffdce05594a
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