Instructions to use eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8 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, "eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/eeeebbb2/57473b92-4192-49cb-9c74-0b29a21addf8/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- 6635a0d6279dec35c4afc77b0c7b7830fc944d222a980cb21f0de467c034d637
- Size of remote file:
- 336 MB
- SHA256:
- 9f33e1ccc3ab947ad91e5723bcd35b37e0e2851c6d1d0102699ba7caeb52dcc1
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