Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use aabidk/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aabidk/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aabidk/test-trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aabidk/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("aabidk/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (d227c57a90b235ed61414bfca4da4198572a2f29) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c23c41a
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update model card README.md
93acf80 -
End of training
441cb52 -
Training in progress, step 1000
588234f -
Training in progress, step 500
09d09bc -
initial commit
164f4e9