Instructions to use VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/VERSIL91/6ea94799-35e7-4bb6-b23e-c19d1e29a76c/resolve/main/last-checkpoint/adapter_model.safetensors
83.9 MB
- Xet hash:
- 54a4794fa6502d298cfb39a6cfdcf5b104e0ba117c4266f52d9df9038beb361a
- Size of remote file:
- 83.9 MB
- SHA256:
- c8a7e3b65106990b7fcf6d34bc0f9346044c1d79dd0e07d2e9e40d9d172a7187
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