Text Classification
Transformers
TensorBoard
Safetensors
eurobert
Generated from Trainer
custom_code
Instructions to use athugodage/factchecker_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use athugodage/factchecker_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="athugodage/factchecker_v1", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("athugodage/factchecker_v1", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("athugodage/factchecker_v1", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!