Instructions to use RonTon05/PhoBert_category with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RonTon05/PhoBert_category with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RonTon05/PhoBert_category")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RonTon05/PhoBert_category") model = AutoModelForSequenceClassification.from_pretrained("RonTon05/PhoBert_category") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a735cb0546f378223bf1dc79d0143b35e922f8ddfef434336c12e54326b5dc7
- Size of remote file:
- 5.14 kB
- SHA256:
- 99e546ceb72759526cc7ee9435b71379e072e130b6d2207857f11c0ecad97a8f
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