Instructions to use bryanhpchiang/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bryanhpchiang/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bryanhpchiang/test2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bryanhpchiang/test2") model = AutoModelForSequenceClassification.from_pretrained("bryanhpchiang/test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb7b0198816e0d212223fa1bebf5f2de6dbc65f6fb3468d17544ccc6bb922f8d
- Size of remote file:
- 3.96 kB
- SHA256:
- 56390772f74ecb383b2d079cce72cf08d4f237ae092eaba6f89ca73b77bc2014
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