Instructions to use hharsha/agentic-rag-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hharsha/agentic-rag-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM-135M") model = PeftModel.from_pretrained(base_model, "hharsha/agentic-rag-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from hharsha/agentic-rag-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.86 MB
-
https://huggingface.co/hharsha/agentic-rag-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://hharsha/agentic-rag-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/hharsha/agentic-rag-lora/resolve/main/adapter_model.safetensors
1.86 MB
- Xet hash:
- f82657434df3c083fd7c9e0f9f2aa6bf575bbfa1ff358cdf69f6b04586b24078
- Size of remote file:
- 1.86 MB
- SHA256:
- a92f2cfb0f7555840970fa1f32987b6adc40ebc0c8be14d461085134c60f1a07
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