Instructions to use phunganhsang/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phunganhsang/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phunganhsang/test") model = AutoModelForSequenceClassification.from_pretrained("phunganhsang/test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ad3e268fd17d66074a8a6189471e4ff8df3da92cc0c1477299bbe76334375a9
- Size of remote file:
- 5.37 kB
- SHA256:
- 6f91b60cb878d8c6a2dfa45c7b99b41152958a6a2b3261f4311c021e31b3717f
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