Instructions to use cemilcelik/Zero-shot-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cemilcelik/Zero-shot-learning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cemilcelik/Zero-shot-learning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cemilcelik/Zero-shot-learning") model = AutoModelForSequenceClassification.from_pretrained("cemilcelik/Zero-shot-learning") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d7692fe51b7fc2618511ac7e873ce6b314050efca1aebd88bbae8f50ad095b9
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size 1112209212
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