Instructions to use nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-410m-deduped") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a/resolve/main/training_args.bin
- Command line
-
hf download hf://nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 25aee8d5d9ddb5656414bbf250a7d043d160ef7011c76491914f7520e6c8bf3c
- Size of remote file:
- 6.78 kB
- SHA256:
- b672e26d715603eed5ad0b54bb6355acf06fd1d81e285d0d53ec5bc0d11a6cb9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.