Instructions to use LoWiki/bert-multilabel-classifier_zero_shot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LoWiki/bert-multilabel-classifier_zero_shot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LoWiki/bert-multilabel-classifier_zero_shot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LoWiki/bert-multilabel-classifier_zero_shot") model = AutoModelForSequenceClassification.from_pretrained("LoWiki/bert-multilabel-classifier_zero_shot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c87d06f2e2a93b1181707415ef35365f56da399c68ed1b25cd0e42ea2c362c75
- Size of remote file:
- 438 MB
- SHA256:
- 02ab35be1ae962f8ea885b611fb779f763715c681b1dc9b622cf5b20836efe70
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