Instructions to use Social-Media-Fairness/user_unbias_classifier_jsingh_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Social-Media-Fairness/user_unbias_classifier_jsingh_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Social-Media-Fairness/user_unbias_classifier_jsingh_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Social-Media-Fairness/user_unbias_classifier_jsingh_classifier") model = AutoModelForSequenceClassification.from_pretrained("Social-Media-Fairness/user_unbias_classifier_jsingh_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7b97a489c807775de83d17d6f77ffb0e9f6dc8a54f57b9f98f8968994651fb
- Size of remote file:
- 438 MB
- SHA256:
- 242af7a6dce403fda91cd64a15531c30aaab235d275e13869829047af254d5d2
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