Instructions to use bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc: direct link, hf CLI and curl.
- Browser
- Download file 13.6 MB
-
https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/adapter_model.bin
- Command line
-
hf download hf://bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/bbytxt/37a3c045-b032-4d86-94d1-2e0a0ed0e8cc/resolve/main/adapter_model.bin
13.6 MB
- Xet hash:
- 425b72bbb8abb4af274e6b5db4f2a35d98cb94fe8ac0da73a273601dc10c1c87
- Size of remote file:
- 13.6 MB
- SHA256:
- a0f6efc8f182dccdc51a9bfd67b7304bcb7c2f5728905a9e91b0ab8ab9d667fb
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