Instructions to use RonTon05/multi_task_model_content with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RonTon05/multi_task_model_content with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("RonTon05/model_content_V2_test") model = PeftModel.from_pretrained(base_model, "RonTon05/multi_task_model_content") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RonTon05/multi_task_model_content: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/RonTon05/multi_task_model_content/resolve/main/training_args.bin
- Command line
-
hf download hf://RonTon05/multi_task_model_content/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RonTon05/multi_task_model_content/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 0b5b1c50fd0a367931ad112cd47b00d56f4f726615bca2d9a88359512b81ded2
- Size of remote file:
- 5.37 kB
- SHA256:
- ba233fe10d13363613946b25ccf9411683e521f11b3f5252c0a923c830b07105
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