Instructions to use immortalPi/stack_exc_multilabel_base_class_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use immortalPi/stack_exc_multilabel_base_class_head with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("google/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "immortalPi/stack_exc_multilabel_base_class_head") - Transformers
How to use immortalPi/stack_exc_multilabel_base_class_head with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immortalPi/stack_exc_multilabel_base_class_head", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from immortalPi/stack_exc_multilabel_base_class_head: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/immortalPi/stack_exc_multilabel_base_class_head/resolve/main/training_args.bin
- Command line
-
hf download hf://immortalPi/stack_exc_multilabel_base_class_head/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/immortalPi/stack_exc_multilabel_base_class_head/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 6be0f85cdcc3edb11e9fde73731c6eef3bde378edbc249d797d9921c16428e30
- Size of remote file:
- 5.91 kB
- SHA256:
- 0ea7b0406c4d7142b34f920ec82ea3a1f32915f9c273c789d19ddd7b5d0cd3c4
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