Text Classification
Transformers
Safetensors
Vietnamese
xlm-roberta
vietnamese
uit-vsfc-sentiment
transfer
eacl-2027
uit-vsfc
sentiment-analysis
Instructions to use BaoNhan/cafebert-UITVSFC-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BaoNhan/cafebert-UITVSFC-S with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BaoNhan/cafebert-UITVSFC-S")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BaoNhan/cafebert-UITVSFC-S") model = AutoModelForSequenceClassification.from_pretrained("BaoNhan/cafebert-UITVSFC-S", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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