Text Classification
Transformers
Safetensors
Vietnamese
bert
sentiment-analysis
fine-tuned
vietnamese
text-embeddings-inference
Instructions to use ZycckZ/Simple_VieQA-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZycckZ/Simple_VieQA-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ZycckZ/Simple_VieQA-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ZycckZ/Simple_VieQA-sentiment") model = AutoModelForSequenceClassification.from_pretrained("ZycckZ/Simple_VieQA-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2d6be1886df8f0b0fa7af1cb5f856e6a8e7544fd1876ec57515c2c3019b3b91
- Size of remote file:
- 4.98 kB
- SHA256:
- 71a24f2b16b5bc549c185d7b7afea61ce7c558a831fd0004eb3a726d6b173c76
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