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
- Xet hash:
- 66f6980e4b6fc5133dd1b9c850ad00d6442870dccc4fecd316434480adb1bce8
- Size of remote file:
- 4.03 kB
- SHA256:
- cd85ee63574a0c9a9b71436b5615694719d90ef97d1d640b8c9c17ca6013a9c0
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