Instructions to use AyoubChLin/BART-mnli_cnn_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/BART-mnli_cnn_256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="AyoubChLin/BART-mnli_cnn_256")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/BART-mnli_cnn_256") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/BART-mnli_cnn_256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
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initial commit
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