Instructions to use harpreetmann/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 harpreetmann/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, "harpreetmann/stack_exc_multilabel_base_class_head") - Transformers
How to use harpreetmann/stack_exc_multilabel_base_class_head with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harpreetmann/stack_exc_multilabel_base_class_head", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62d2c9db25b7de3e8ae020574e57dcb18c7cfdcf555c4e1243ddcd1efb34aa2f
- Size of remote file:
- 665 MB
- SHA256:
- 0a75f6fff540b2a8e4d44f43bcc41a6f0d45d68239720feb295537ddf068c9e6
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