Text Classification
Transformers
PyTorch
bert
classification
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use joheras/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joheras/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joheras/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joheras/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("joheras/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac54d227c3cf4bf9ca1ca167882be4958119645b1d31bf549254843eb5bc65e3
- Size of remote file:
- 3.39 kB
- SHA256:
- eda06be0595291729355ff61de281c060c157e05c16fb1f3fcec71899a7301f8
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