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") - Notebooks
- Google Colab
- Kaggle
Checkpoint for WandB run: distilbert-all-train-6c652627
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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