Instructions to use johnnydevriese/xlm-roberta-email-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnnydevriese/xlm-roberta-email-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="johnnydevriese/xlm-roberta-email-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("johnnydevriese/xlm-roberta-email-classification") model = AutoModelForSequenceClassification.from_pretrained("johnnydevriese/xlm-roberta-email-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a13f9b9939d161daf1c8d34082c731dcc0ba1e4b4e8cc462e214c4e951fb076
- Size of remote file:
- 5.37 kB
- SHA256:
- 2b74f5c8d75ef9f8eafda857da12fc9f4f2dabed33fbc94a7fa9a5c83019cd61
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