Instructions to use slimaneMakh/superClass_multiLang_tableClf_14jun_studentMulti14jun-XLMR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slimaneMakh/superClass_multiLang_tableClf_14jun_studentMulti14jun-XLMR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="slimaneMakh/superClass_multiLang_tableClf_14jun_studentMulti14jun-XLMR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("slimaneMakh/superClass_multiLang_tableClf_14jun_studentMulti14jun-XLMR") model = AutoModelForSequenceClassification.from_pretrained("slimaneMakh/superClass_multiLang_tableClf_14jun_studentMulti14jun-XLMR") - Notebooks
- Google Colab
- Kaggle
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