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:
- d039f3d7d2ee21ee2dda7146328498bd199d9a401d625618a96b23e8767737d0
- Size of remote file:
- 268 MB
- SHA256:
- 644e66cee809f3f9da8714cb2058de59db9d0512ed532494ac0cd99ae4f42f39
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