Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kanishka/aann-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kanishka/aann-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kanishka/aann-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kanishka/aann-detector") model = AutoModelForSequenceClassification.from_pretrained("kanishka/aann-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fcb189ce240e40675b6e11c914ef9e7d07341d8e5bc4786b1588b9d37254578
- Size of remote file:
- 4.6 kB
- SHA256:
- 896f2d02af2d707e89b6a57f0d0f0c3b0d219bc83a592dc06f4602d7e4e0dfc0
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