Instructions to use DinaYatsuk/tass_peft_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DinaYatsuk/tass_peft_test2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ai-forever/rugpt3medium_based_on_gpt2") model = PeftModel.from_pretrained(base_model, "DinaYatsuk/tass_peft_test2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DinaYatsuk/tass_peft_test2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/DinaYatsuk/tass_peft_test2/resolve/main/training_args.bin
- Command line
-
hf download hf://DinaYatsuk/tass_peft_test2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DinaYatsuk/tass_peft_test2/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 88d78f961417c928fe91bde02ff2bf8e521a8244dcfcf7eb5e71df8ba2c5693a
- Size of remote file:
- 4.92 kB
- SHA256:
- fdc15b33acf29c46381788906821d38ed2a66066d1beef98321c2542d549b6b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.