Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use xysmalobia/test-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xysmalobia/test-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xysmalobia/test-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xysmalobia/test-trainer") model = AutoModelForSequenceClassification.from_pretrained("xysmalobia/test-trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c214b61048aa380479442f6df0d253bd0790aecbec8a006138883d2acc3dd18
- Size of remote file:
- 2.8 kB
- SHA256:
- ac9871e30b62bab7a8bd9c5948ecd1cf776ad08c7fe7551efc81edd1e299288d
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