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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("padmajabfrl/Gender-Classification") model = AutoModelForSequenceClassification.from_pretrained("padmajabfrl/Gender-Classification", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Padmaj Srivastav commited on
Commit ·
714d04b
1
Parent(s): abc9727
Training in progress, step 500
Browse files- pytorch_model.bin +1 -1
- runs/Jan09_10-13-11_c5e8acbd8245/1673259906.2520595/events.out.tfevents.1673259906.c5e8acbd8245.105.5 +3 -0
- runs/Jan09_10-13-11_c5e8acbd8245/events.out.tfevents.1673259533.c5e8acbd8245.105.2 +2 -2
- runs/Jan09_10-13-11_c5e8acbd8245/events.out.tfevents.1673259906.c5e8acbd8245.105.4 +3 -0
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