Text Classification
Transformers
Safetensors
English
roberta
Bias Detection
Text Classification
text-embeddings-inference
Instructions to use himel7/bias-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use himel7/bias-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="himel7/bias-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("himel7/bias-detector") model = AutoModelForSequenceClassification.from_pretrained("himel7/bias-detector") - Notebooks
- Google Colab
- Kaggle
Add Github link to model card
#1
by nielsr HF Staff - opened
This PR adds a link to the Github repository for the himel7/bias-detector model. This will allow users to easily access the code and further details about the model. Please update the link if necessary.
himel7 changed pull request status to merged