Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use anvayS/reddit-aita-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anvayS/reddit-aita-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anvayS/reddit-aita-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anvayS/reddit-aita-classifier") model = AutoModelForSequenceClassification.from_pretrained("anvayS/reddit-aita-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca8c0c4dd31fe0cf442b379177b891ba194c3e4906a67d408ad93598207dcc22
- Size of remote file:
- 268 MB
- SHA256:
- 803921495eafc098f7f78031b3c22f1f6188839912e3b4dec5dc4687bd3ba709
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.