Instructions to use alchemist69/671bbf48-564a-4eb1-875e-d0117603ff24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/671bbf48-564a-4eb1-875e-d0117603ff24 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "alchemist69/671bbf48-564a-4eb1-875e-d0117603ff24") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from alchemist69/671bbf48-564a-4eb1-875e-d0117603ff24: direct link, hf CLI and curl.
- Browser
- Download file 671 MB
-
https://huggingface.co/alchemist69/671bbf48-564a-4eb1-875e-d0117603ff24/resolve/main/adapter_model.bin
- Command line
-
hf download hf://alchemist69/671bbf48-564a-4eb1-875e-d0117603ff24/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/alchemist69/671bbf48-564a-4eb1-875e-d0117603ff24/resolve/main/adapter_model.bin
671 MB
- Xet hash:
- f16c95f531c96326cf354510e647c40de5569451d5d87e3f0fad74a347e54248
- Size of remote file:
- 671 MB
- SHA256:
- 26795cd336743874e7aa98e88b0a4c195d46ee42a7ef71ee9aa2caff3b2584b0
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