Instructions to use VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/3fb8c619-231e-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, "VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644/resolve/main/adapter_model.bin
- Command line
-
hf download hf://VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/VERSIL91/3fb8c619-231e-454a-8ad5-ca0b0633b644/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- b90fb5f2d251e5e070382e5171ac0b787e72d819e1671f8f409643529406556c
- Size of remote file:
- 84 MB
- SHA256:
- 2b708ac245ce5357ad22566b8fff9f4180ee53f9d97231c8c94b964a37db0282
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