Instructions to use Superflows/Superflows-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Superflows/Superflows-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "Superflows/Superflows-1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from Superflows/Superflows-1: direct link, hf CLI and curl.
- Browser
- Download file 865 MB
-
https://huggingface.co/Superflows/Superflows-1/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://Superflows/Superflows-1/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/Superflows/Superflows-1/resolve/main/adapter_model.safetensors
865 MB
- Xet hash:
- cce9377572c268a2906f0c17601121ee10dc8f6306972934dccb3e92e7936649
- Size of remote file:
- 865 MB
- SHA256:
- 2379ccfad77bec31d42a31060503ecc555f58aa7d4df3537a2726fb6d2cef129
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