Instructions to use wu981526092/bias_classifier_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wu981526092/bias_classifier_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wu981526092/bias_classifier_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wu981526092/bias_classifier_roberta") model = AutoModelForSequenceClassification.from_pretrained("wu981526092/bias_classifier_roberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39488375a98321057621b5620fca5c20989884d2f6b8a7426db5434efd3d0cdb
- Size of remote file:
- 5.24 kB
- SHA256:
- 6549ecbbdaca58a56050cb7e400580c0d5dadb4a1358f5cc97a1d264125f98b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.