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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3392a18fb2b45487f22c9092cf6272053b441d9f0c3a473c8744befb5dca8c1d
- Size of remote file:
- 4.03 kB
- SHA256:
- e2101a1dbb417de9c10793ba108dfa85582797613e968f9831991da2b24c860e
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