Instructions to use cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/root/autodl-tmp/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct: direct link, hf CLI and curl.
- Browser
- Download file 109 MB
-
https://huggingface.co/cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/cassuto/Llama-3.1-ANLI-R1-R2-R3-8B-Instruct/resolve/main/adapter_model.safetensors
109 MB
- Xet hash:
- b6c84d3140610781bd4f4c56eabe67bdeffabc6f14be247c9785b28b9fff2818
- Size of remote file:
- 109 MB
- SHA256:
- a86019e18a1e0b62acc814d6adc53cdd914e0e0d198bd45e0f6ef9490b21d1a1
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