Text Classification
Transformers
PyTorch
Safetensors
English
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Showroom/gender_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Showroom/gender_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Showroom/gender_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Showroom/gender_classifier") model = AutoModelForSequenceClassification.from_pretrained("Showroom/gender_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Showroom/gender_classifier: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/Showroom/gender_classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Showroom/gender_classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Showroom/gender_classifier/resolve/main/pytorch_model.bin
1.34 GB
- Xet hash:
- d1442becc9a1b7b391cfd16a59fb4c44f175b06ca5b03ddff7e58fd2255bbc81
- Size of remote file:
- 1.34 GB
- SHA256:
- 809e665af7c080e5422de26618195f471a6b27b50140054b276891cb2713a6b7
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