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
Download training_args.bin from Tensorride/censorship_classifier_transformer: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/Tensorride/censorship_classifier_transformer/resolve/main/training_args.bin
- Command line
-
hf download hf://Tensorride/censorship_classifier_transformer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tensorride/censorship_classifier_transformer/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- dfdaf46804fcd50309a72d1fd82abff8f731700e00788decf3f35db343417045
- Size of remote file:
- 3.96 kB
- SHA256:
- a9a69d49e375df8e6c1280863916dac94cbe173ae3987a5df6843144653b04eb
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