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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immortalPi/stack_exc_multilabel_base_class_head", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0f3f8b7891165bf81bba9ccc3160fd7b83603a79570ab0fe3b361c2359ef45d
- Size of remote file:
- 665 MB
- SHA256:
- 64dd9b803586bb8a80e10f6d915bc9074d37b5545bbc9be6a6e0941ec5982ca0
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