Instructions to use Nottybro/acra-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nottybro/acra-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Nottybro/acra-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Nottybro/acra-classifier") model = AutoModelForSequenceClassification.from_pretrained("Nottybro/acra-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea19c1bb7c78e775558ae63cb18b87cd80d8c39c75495a324ae8b81a60283835
- Size of remote file:
- 268 MB
- SHA256:
- 3380a073e5963444d068f1b9487ecc9bfa02bb3afb8f838054cadd932183b0ef
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