Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kkotkar1/test_trainer_old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkotkar1/test_trainer_old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kkotkar1/test_trainer_old")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kkotkar1/test_trainer_old") model = AutoModelForSequenceClassification.from_pretrained("kkotkar1/test_trainer_old") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4d4a73dee647b771e99ded769ecfe315d83f7edd1c936bd1f2f5b8fb07113ee
- Size of remote file:
- 433 MB
- SHA256:
- d9fef886b8d24fb5494d2ed32ef4be3326b57447f14900f05dcd8b7adb7168c9
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