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
File size: 134 Bytes
caed514 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:242af7a6dce403fda91cd64a15531c30aaab235d275e13869829047af254d5d2
size 438003761
|