Instructions to use sergioalves/4f7c7c59-0b71-4dd4-b7de-e40014d1a1ec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/4f7c7c59-0b71-4dd4-b7de-e40014d1a1ec with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "sergioalves/4f7c7c59-0b71-4dd4-b7de-e40014d1a1ec") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from sergioalves/4f7c7c59-0b71-4dd4-b7de-e40014d1a1ec: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/sergioalves/4f7c7c59-0b71-4dd4-b7de-e40014d1a1ec/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://sergioalves/4f7c7c59-0b71-4dd4-b7de-e40014d1a1ec/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/sergioalves/4f7c7c59-0b71-4dd4-b7de-e40014d1a1ec/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- a997cdd869f632506705607b129feade993191245862f7f1ff2dd3dc23afa87f
- Size of remote file:
- 336 MB
- SHA256:
- 8020d1af792aa8e8bf68b994f03d6f726939bcff9eda8bd361389bed5764ca20
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