Instructions to use VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b: direct link, hf CLI and curl.
- Browser
- Download file 6.84 MB
-
https://huggingface.co/VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b/resolve/main/adapter_model.bin
- Command line
-
hf download hf://VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b/resolve/main/adapter_model.bin
6.84 MB
- Xet hash:
- 6ad229f1b5b1dbad5f739880ffe70d2e6f03d103c3a5042c2b6812a0b9cd385a
- Size of remote file:
- 6.84 MB
- SHA256:
- ed80385bca8fe6dac06bacc085e9adeccf4beceab3b46ebfb8a348205090a3c1
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