Instructions to use Narsil/tiny-distilbert-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/tiny-distilbert-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Narsil/tiny-distilbert-sequence-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Narsil/tiny-distilbert-sequence-classification") model = AutoModelForSequenceClassification.from_pretrained("Narsil/tiny-distilbert-sequence-classification") - Inference
- Notebooks
- Google Colab
- Kaggle
New model.
Browse files- pytorch_model.bin +2 -2
- tf_model.h5 +1 -1
pytorch_model.bin
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tf_model.h5
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