Instructions to use hynky/Gender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hynky/Gender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hynky/Gender")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hynky/Gender") model = AutoModelForSequenceClassification.from_pretrained("hynky/Gender", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad43022050a507ed0acb27edbfe7b2aede8b605c0f08709acc34548b8c0a9325
- Size of remote file:
- 504 MB
- SHA256:
- 541baace681f9d7db9237f93f5e0ea38d1a80ad5fe2e3e4c73b6fc8c0f314cee
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