Instructions to use tonynhan/Test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tonynhan/Test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tonynhan/Test2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tonynhan/Test2") model = AutoModelForSequenceClassification.from_pretrained("tonynhan/Test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4798138e8d0a07e8402e0cacc7026fa6cee921fdbd0d8ba9ff7b32085e28ed8
- Size of remote file:
- 438 MB
- SHA256:
- b97c3cd871fa3773badf9df645b1609a657c1245c8692f3237a20df2d9fc79b9
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