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
Download assets/Accuracy_cat.png from lincoln/flaubert-mlsum-topic-classification: direct link, hf CLI and curl.
- Browser
- Download file 24.4 kB
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https://huggingface.co/lincoln/flaubert-mlsum-topic-classification/resolve/main/assets/Accuracy_cat.png
- Command line
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hf download hf://lincoln/flaubert-mlsum-topic-classification/assets/Accuracy_cat.png
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curl -L -o Accuracy_cat.png https://huggingface.co/lincoln/flaubert-mlsum-topic-classification/resolve/main/assets/Accuracy_cat.png
24.4 kB
