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:
- 55616429221ecd46760cd42f94874359e711425107252f35d226ab0f4603e73f
- Size of remote file:
- 1.34 GB
- SHA256:
- b316e0f8ec2c1e67f8564a5f719d24cd812802c7f154f4233d3916d215800cb5
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