Instructions to use LoWiki/roberta-multilabel-classifier_zero_shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LoWiki/roberta-multilabel-classifier_zero_shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LoWiki/roberta-multilabel-classifier_zero_shot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LoWiki/roberta-multilabel-classifier_zero_shot") model = AutoModelForSequenceClassification.from_pretrained("LoWiki/roberta-multilabel-classifier_zero_shot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 430be7123b388f4f3832b4607bfb0625b3c89cdb90aaf2ad5069b8e90ac24772
- Size of remote file:
- 499 MB
- SHA256:
- edc3867d84df0cbbf34ee929710278b01c7ea1877dec4f337113326359c7cfae
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