Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use datalearningpr/name_to_gender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datalearningpr/name_to_gender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="datalearningpr/name_to_gender")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("datalearningpr/name_to_gender") model = AutoModelForSequenceClassification.from_pretrained("datalearningpr/name_to_gender") - Notebooks
- Google Colab
- Kaggle
Help! Can you supply a training set?
#3
by daviddkly - opened