Text Classification
Transformers
PyTorch
TensorFlow
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use LovenOO/distilBERT_without_preprocessing_grid_search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LovenOO/distilBERT_without_preprocessing_grid_search with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LovenOO/distilBERT_without_preprocessing_grid_search")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LovenOO/distilBERT_without_preprocessing_grid_search") model = AutoModelForSequenceClassification.from_pretrained("LovenOO/distilBERT_without_preprocessing_grid_search", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13c051f27b6ff66922fec7767813dcc07806e1712aa474f1034a0a34486be099
- Size of remote file:
- 4.03 kB
- SHA256:
- fa6fb821da8f28c9ea6c7dcac17b9004651777c3444ccc04c2d07a313a5c9fbe
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