Instructions to use bbytxt/3fb8c619-231e-454a-8ad5-ca0b0633b644 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/3fb8c619-231e-454a-8ad5-ca0b0633b644 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, "bbytxt/3fb8c619-231e-454a-8ad5-ca0b0633b644") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from bbytxt/3fb8c619-231e-454a-8ad5-ca0b0633b644: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/bbytxt/3fb8c619-231e-454a-8ad5-ca0b0633b644/resolve/main/adapter_model.bin
- Command line
-
hf download hf://bbytxt/3fb8c619-231e-454a-8ad5-ca0b0633b644/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/bbytxt/3fb8c619-231e-454a-8ad5-ca0b0633b644/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- 4fcb32d1a15a7235446f054d3d0fb8ce3c5c945ef5185fcfabacf28cd017e4c2
- Size of remote file:
- 168 MB
- SHA256:
- 819b5d75e080273ba05d8a2b0943c9068e9634d5a82ce673e50bfbb803cfad1e
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