Instructions to use ittailup/distilgender-es-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ittailup/distilgender-es-2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ittailup/distilgender-es-2M")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ittailup/distilgender-es-2M") model = AutoModelForSequenceClassification.from_pretrained("ittailup/distilgender-es-2M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 327336f5c2d81a43796ce28ba1b76eeb964e1288d0a7c0b4a4f507bd98624de5
- Size of remote file:
- 268 MB
- SHA256:
- f47b2877c18062397a79366d5d45b1f40a5b97cf6c9a3df8f448a4bf461dd85a
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