Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use LovenOO/BERT_large_with_preprocessing_grid_search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LovenOO/BERT_large_with_preprocessing_grid_search with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LovenOO/BERT_large_with_preprocessing_grid_search")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LovenOO/BERT_large_with_preprocessing_grid_search") model = AutoModelForSequenceClassification.from_pretrained("LovenOO/BERT_large_with_preprocessing_grid_search", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 107d1119a4257a7c4c9c3cabd063517ee5c60f96718a118ca3087d4f4586b917
- Size of remote file:
- 4.03 kB
- SHA256:
- b8f4dcec85780079948f0e9234bf0ae40a269399c3d3112118c19be61b8c6e67
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