Instructions to use ivnle/14B_lora_fsdp_bs8192_20250603_170333 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ivnle/14B_lora_fsdp_bs8192_20250603_170333 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ivnle/14B_lora_fsdp_bs8192_20250603_170333", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3e19c2b2c37ad949a3f2da42a53519d59a9aed9a5395cc1b393e42ba75c1494
- Size of remote file:
- 50.4 MB
- SHA256:
- fe5f5f812689de5a34a598c97489bb5e00cdf9a3da51524dc543486e091148a2
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