Instructions to use AXKuhta/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXKuhta/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AXKuhta/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AXKuhta/test") model = AutoModelForSequenceClassification.from_pretrained("AXKuhta/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f3b27491d699f0b2b10b1d77abc85066953e6665b2b481c66aa6fdefd275f7b
- Size of remote file:
- 5.2 kB
- SHA256:
- 8787e01b0d0fa5460ae0cbfd611b3bf6b63894c56355307bec2a6bb4f24e1cbc
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