Instructions to use emptor/distilgender-es-2M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emptor/distilgender-es-2M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emptor/distilgender-es-2M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emptor/distilgender-es-2M") model = AutoModelForSequenceClassification.from_pretrained("emptor/distilgender-es-2M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (256daf44175c5c3e55288fba8736fa46a893ce42) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>47d64cb -
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initial commit
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