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:
- cb0ed74def9ea0758bf65f86b07a07d826f7203f3f9a1d9ecfc0418b35d0c867
- Size of remote file:
- 5.3 kB
- SHA256:
- 30a2ed241d65e0f1a3681e4eec3362901465ea9b2150d57139c936a44e1dc5d7
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