Instructions to use lincoln/flaubert-mlsum-topic-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lincoln/flaubert-mlsum-topic-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lincoln/flaubert-mlsum-topic-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lincoln/flaubert-mlsum-topic-classification") model = AutoModelForSequenceClassification.from_pretrained("lincoln/flaubert-mlsum-topic-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77afbf738f449457077ba67552869f00eef3413b0156e7399d4212a7591320e0
- Size of remote file:
- 553 MB
- SHA256:
- b0ef7ad4d0b8257d4477987a0caee2a1c9507f6c6f7a686affcc274cd8c0d1d7
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