Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Erfan2001/multilingual_tokenized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erfan2001/multilingual_tokenized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Erfan2001/multilingual_tokenized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Erfan2001/multilingual_tokenized") model = AutoModelForSequenceClassification.from_pretrained("Erfan2001/multilingual_tokenized") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md 76061bc
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Model save 7982012
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Training in progress, epoch 5 e49755e
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Training in progress, epoch 3 38dce25
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Training in progress, epoch 2 9a618cb
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Training in progress, epoch 1 0c95c7b
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initial commit 24f7585
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