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:
- 01192a5a98fc4371fd22fea92f3d078cbc85befc0e332fab09e157e41ef985ae
- Size of remote file:
- 438 MB
- SHA256:
- 342f2fb84e9d1488b280a144eb6a1a9f748b73aedd09764909beef00ec81e2a6
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