Instructions to use tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/tarabukinivan/7c60848a-6ba5-4df9-a1e7-e7c74860b0db/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- e415b2cb8fe669dbf6529759348189a8ec370c7ee975acb90d8282025e6f1f3f
- Size of remote file:
- 83.9 MB
- SHA256:
- 0443d3c1b647fbdc2b32018337b070a15a8513a2fc35b34959b4ef02b6de22c7
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