Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use rain1898/test-trainer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rain1898/test-trainer2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rain1898/test-trainer2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rain1898/test-trainer2") model = AutoModelForSequenceClassification.from_pretrained("rain1898/test-trainer2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a4d77a729ebd0dda5ac46a85a315b947dc8f0d4ed4fa5f5372d25fe16d92c4e
- Size of remote file:
- 438 MB
- SHA256:
- 4cbfb4f35f4876cf941c9b58af939b0a4bf83cdcf6eb4facf7c343ec17a311c2
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