Instructions to use sagittariusA/gender_classifier_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagittariusA/gender_classifier_cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sagittariusA/gender_classifier_cs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sagittariusA/gender_classifier_cs") model = AutoModelForSequenceClassification.from_pretrained("sagittariusA/gender_classifier_cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sagittariusA/gender_classifier_cs: direct link, hf CLI and curl.
- Browser
- Download file 504 MB
-
https://huggingface.co/sagittariusA/gender_classifier_cs/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sagittariusA/gender_classifier_cs/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sagittariusA/gender_classifier_cs/resolve/main/pytorch_model.bin
504 MB
- Xet hash:
- e6d84050ed3f676fe7a831f1291e541214fbe7936c937c3dacc660b0c32972c0
- Size of remote file:
- 504 MB
- SHA256:
- 41cd49768c40da753da841762af3944518479ffd936002648f37f70118db2b5e
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