Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DaisyQue/test_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaisyQue/test_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaisyQue/test_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaisyQue/test_trainer") model = AutoModelForSequenceClassification.from_pretrained("DaisyQue/test_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8acc3a1b2518ac01cce4c49f8c9f3fdac68718d4cf9ec7082df5b09d40ce64d
- Size of remote file:
- 499 MB
- SHA256:
- 7dadf12ded388bf622f72ed422c3c0775c03123852226ca97d8be4cf96ed7faa
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