Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Prezily/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prezily/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Prezily/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Prezily/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("Prezily/test_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 546087343f62a7f6ffbcbac2a501d446c1d4f7406e48ba3cb2b2e01169a55f99
- Size of remote file:
- 4.6 kB
- SHA256:
- a7fecb6d5019d60fe2930772349d996b826961c5191b61c2169e98e1a451d216
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