Instructions to use eeeebbb2/d48e42af-7fb4-4b45-91be-78cd06b291f0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/d48e42af-7fb4-4b45-91be-78cd06b291f0 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, "eeeebbb2/d48e42af-7fb4-4b45-91be-78cd06b291f0") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from eeeebbb2/d48e42af-7fb4-4b45-91be-78cd06b291f0: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/eeeebbb2/d48e42af-7fb4-4b45-91be-78cd06b291f0/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://eeeebbb2/d48e42af-7fb4-4b45-91be-78cd06b291f0/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/eeeebbb2/d48e42af-7fb4-4b45-91be-78cd06b291f0/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- 682337c3baddc03e5eab8cf961c8d74c6f1ee89fe627e5bb7d523df22da911be
- Size of remote file:
- 336 MB
- SHA256:
- 6c696cab0a3d3a6350c331a2fa51b164096d09045d83c85832605ebb6c37a08a
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