Instructions to use bane5631/72219773-77e9-4ed5-8179-eb34166383f9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/72219773-77e9-4ed5-8179-eb34166383f9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-14m") model = PeftModel.from_pretrained(base_model, "bane5631/72219773-77e9-4ed5-8179-eb34166383f9") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from bane5631/72219773-77e9-4ed5-8179-eb34166383f9: direct link, hf CLI and curl.
- Browser
- Download file 411 kB
-
https://huggingface.co/bane5631/72219773-77e9-4ed5-8179-eb34166383f9/resolve/main/adapter_model.bin
- Command line
-
hf download hf://bane5631/72219773-77e9-4ed5-8179-eb34166383f9/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/bane5631/72219773-77e9-4ed5-8179-eb34166383f9/resolve/main/adapter_model.bin
411 kB
- Xet hash:
- 4ccc945e343bfde2b45758b1ca10bca3f5b0facd4fb968da17bdcba9f2f9fcb9
- Size of remote file:
- 411 kB
- SHA256:
- 2b7aee114d8391651f0064066da1e266af3944f66deac9242f9348b92703078b
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