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:
- 90a04582e9affeda4953c9f80ca90298c517fc787c203b90afe98588b58af851
- Size of remote file:
- 1.47 GB
- SHA256:
- 51a90be619d82cbdbab2ad60bf959b69851165cf080ca7f6f9f641fd8f04f8c1
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