Instructions to use Vishal24/function-calling-adapters-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vishal24/function-calling-adapters-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Vishal24/function-calling-adapters-v2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Vishal24/function-calling-adapters-v2: direct link, hf CLI and curl.
- Browser
- Download file 160 MB
-
https://huggingface.co/Vishal24/function-calling-adapters-v2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Vishal24/function-calling-adapters-v2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Vishal24/function-calling-adapters-v2/resolve/main/adapter_model.bin
160 MB
- Xet hash:
- 20bbf4ca8e34e2e3e792d6c899b011c1b04e543f28b0ba6cb416f5bf4bef237d
- Size of remote file:
- 160 MB
- SHA256:
- 19a027d53c69475009d4c497e2976b4bdda6c95db5c747aa20e3150137a7b801
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