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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:98c0cb10d73d227a4c291e9e9097fde908a22886a48476a4c548e1575a81ac86
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size 1629436964
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