Instructions to use ilhami/Gender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilhami/Gender with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ilhami/Gender")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ilhami/Gender") model = AutoModelForSequenceClassification.from_pretrained("ilhami/Gender", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa5feb3349a736c04aa25e486219ee9dae10788f9e0114a4a1367d6c9f6f11c8
- Size of remote file:
- 4.6 kB
- SHA256:
- f4e15b3e08706522e3a9787e9e71521bf832c9d4e4f4eb5a399a84cc9350b35b
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