Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Erfan2001/multilingual_NoTokenized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erfan2001/multilingual_NoTokenized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Erfan2001/multilingual_NoTokenized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Erfan2001/multilingual_NoTokenized") model = AutoModelForSequenceClassification.from_pretrained("Erfan2001/multilingual_NoTokenized") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md b7b889b
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Model save 17876b3
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Training in progress, epoch 2 61cc30d
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Training in progress, epoch 1 78c0ee2
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initial commit 1cac9c5
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