Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Tensorride/censorship_classifier_transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tensorride/censorship_classifier_transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tensorride/censorship_classifier_transformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tensorride/censorship_classifier_transformer") model = AutoModelForSequenceClassification.from_pretrained("Tensorride/censorship_classifier_transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 3
b9a93ba -
Training in progress, epoch 2
bdd4aab
-
Training in progress, epoch 1
caf9d51
-
update model card README.md
2f40980 -
End of training
7475371 -
Training in progress, epoch 1
ecb0019 -
update model card README.md
c396177 -
End of training
0e6495c -
Training in progress, epoch 1
f6ad403 -
update model card README.md
5834c1e -
End of training
a5789f1 -
Training in progress, epoch 1
aaff003 -
initial commit
d37d370