Instructions to use pinanknagda/tweet_exc_multilabel_base_class_head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pinanknagda/tweet_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, "pinanknagda/tweet_exc_multilabel_base_class_head") - Transformers
How to use pinanknagda/tweet_exc_multilabel_base_class_head with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pinanknagda/tweet_exc_multilabel_base_class_head", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K