Instructions to use Puch/Databricks-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Puch/Databricks-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-6.7b") model = PeftModel.from_pretrained(base_model, "Puch/Databricks-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Puch/Databricks-lora: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/Puch/Databricks-lora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Puch/Databricks-lora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Puch/Databricks-lora/resolve/main/adapter_model.bin
33.6 MB
- Xet hash:
- 1860914d7aade16f31817da34fb888bc22364623c2e56471c89286afd114c7c3
- Size of remote file:
- 33.6 MB
- SHA256:
- 3f303741f1c34df93f1e49a1669b679ac5a6df1c6f91af3834da19746c075778
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