Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use dzrex/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzrex/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dzrex/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dzrex/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("dzrex/test-trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfdcfb6d00d8a8ef5b8fc672ebb6b67b1e498e804477dfb8a94fefe626796840
- Size of remote file:
- 3.58 kB
- SHA256:
- 4f69e5f6be81684b64518d628c8a1536c679e43a18d896ea0f8c079be117fcff
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