Instructions to use 3funnn/bert-topic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 3funnn/bert-topic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="3funnn/bert-topic-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("3funnn/bert-topic-classification") model = AutoModelForSequenceClassification.from_pretrained("3funnn/bert-topic-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 483eb5924784832c8d3401cd413ee10e1cf6d60319a0f2b8427f03514b91427c
- Size of remote file:
- 438 MB
- SHA256:
- fe9df7b02698886836c799ab725d0a212dd8f49d0457832892904e3c0a954db8
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