Instructions to use aequa-tech/stereotype-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aequa-tech/stereotype-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aequa-tech/stereotype-it")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aequa-tech/stereotype-it") model = AutoModelForSequenceClassification.from_pretrained("aequa-tech/stereotype-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c63d5aafded1af0f0012e24f6d7c2923320187e3b2a73934b40dcea4450d8b03
- Size of remote file:
- 1.06 kB
- SHA256:
- 8a7b7c01854588932ef109a93fc6c82a8dae98b947f34455716c77d82ef89a6f
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