Instructions to use LoWiki/bert-multilabel-classifier_randompairs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LoWiki/bert-multilabel-classifier_randompairs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LoWiki/bert-multilabel-classifier_randompairs")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LoWiki/bert-multilabel-classifier_randompairs") model = AutoModelForSequenceClassification.from_pretrained("LoWiki/bert-multilabel-classifier_randompairs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d8c76359f3288006f17b89fc7333f368f7a96e47db49d198743f76a666ee23c
- Size of remote file:
- 438 MB
- SHA256:
- 44d05fe70fb17b26cf9c827dd877bfde6d40f3607cb15f15650ef895079a6b63
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