Instructions to use SetFit/distilbert-base-uncased__ethos_binary__all-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SetFit/distilbert-base-uncased__ethos_binary__all-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SetFit/distilbert-base-uncased__ethos_binary__all-train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SetFit/distilbert-base-uncased__ethos_binary__all-train") model = AutoModelForSequenceClassification.from_pretrained("SetFit/distilbert-base-uncased__ethos_binary__all-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3136203d8270960260cd764e58c6a37e229afc6f2f56dcfe9ad44a9268f164ed
- Size of remote file:
- 3.12 kB
- SHA256:
- e9125df772994447bba2dd873e03c7b31579d3aeda22e3adeb8aeab8679410b3
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