Instructions to use RonanMcGovern/Llama-2-7b-hf-function-calling-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RonanMcGovern/Llama-2-7b-hf-function-calling-adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "RonanMcGovern/Llama-2-7b-hf-function-calling-adapters") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from RonanMcGovern/Llama-2-7b-hf-function-calling-adapters: direct link, hf CLI and curl.
- Browser
- Download file 67.2 MB
-
https://huggingface.co/RonanMcGovern/Llama-2-7b-hf-function-calling-adapters/resolve/main/adapter_model.bin
- Command line
-
hf download hf://RonanMcGovern/Llama-2-7b-hf-function-calling-adapters/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/RonanMcGovern/Llama-2-7b-hf-function-calling-adapters/resolve/main/adapter_model.bin
67.2 MB
- Xet hash:
- 4c7250b04cdb5709c68ebbcccf3d4ad93dfebf532111a4bb4e5655be51944478
- Size of remote file:
- 67.2 MB
- SHA256:
- 2a97bb25edd810958af9403c0f57c6a0cec103aa5e48d919872b549ccd7e1bfe
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