Instructions to use LovenOO/BERT_large_without_preprocessing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LovenOO/BERT_large_without_preprocessing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LovenOO/BERT_large_without_preprocessing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LovenOO/BERT_large_without_preprocessing") model = AutoModelForSequenceClassification.from_pretrained("LovenOO/BERT_large_without_preprocessing") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Aug14_19-14-19_e8c619643c0d/events.out.tfevents.1692040470.e8c619643c0d.665.0
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