Text Classification
Transformers
Safetensors
bert
l9
repository-library
repository_library_search_stack
research-library
verifier-accept-policy
text-embeddings-inference
Instructions to use PeytonT/verifier-accept-policy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeytonT/verifier-accept-policy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PeytonT/verifier-accept-policy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PeytonT/verifier-accept-policy") model = AutoModelForSequenceClassification.from_pretrained("PeytonT/verifier-accept-policy") - Notebooks
- Google Colab
- Kaggle
Ctrl+K