Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use padmajabfrl/Gender-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use padmajabfrl/Gender-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="padmajabfrl/Gender-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("padmajabfrl/Gender-Classification") model = AutoModelForSequenceClassification.from_pretrained("padmajabfrl/Gender-Classification") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
SFconvertbot
What is the fine-tuning data
#5 opened over 1 year ago
by
davidharket
Request: DOI
#4 opened about 2 years ago
by
Msalehi237
Tuning data
#3 opened over 2 years ago
by
evasahlholdt
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot