Instructions to use Crystalcareai/Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Crystalcareai/Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-alpha") model = PeftModel.from_pretrained(base_model, "Crystalcareai/Lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Crystalcareai/Lora: direct link, hf CLI and curl.
- Browser
- Download file 27.4 MB
-
https://huggingface.co/Crystalcareai/Lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Crystalcareai/Lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Crystalcareai/Lora/resolve/main/adapter_model.bin
27.4 MB
- Xet hash:
- dd1c1925e8508eb860c3103440d7c3cf8a2454b1c5b5f8d1b3b3bde02dc8dbed
- Size of remote file:
- 27.4 MB
- SHA256:
- 7f0375c6d59fbbcb27207f8acd46585b32a8b10c89a7a1476f401211dd438076
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