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 training_args.bin from bane5631/72219773-77e9-4ed5-8179-eb34166383f9: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/bane5631/72219773-77e9-4ed5-8179-eb34166383f9/resolve/main/training_args.bin
- Command line
-
hf download hf://bane5631/72219773-77e9-4ed5-8179-eb34166383f9/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bane5631/72219773-77e9-4ed5-8179-eb34166383f9/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 256ee09d154c0721ce715d74a75360f983d8ebdbc10824b93ad14a07eb9ca4fb
- Size of remote file:
- 6.78 kB
- SHA256:
- f1a80b49adaa653b17e4deec373f5cac44b909195d8470ebf0fd6aad6d5285a9
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