Instructions to use ntrnghia/stsb_vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntrnghia/stsb_vn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ntrnghia/stsb_vn")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ntrnghia/stsb_vn") model = AutoModelForSequenceClassification.from_pretrained("ntrnghia/stsb_vn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ce81ef24e64ea55966049af179f4f037ea1f27dfd3864d004506bfbbee1c9b7
- Size of remote file:
- 711 MB
- SHA256:
- 16b395ddc3e9acbcc011f111d3552a7f04e35538a462b914e763b09129805d3d
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