Text Classification
Transformers
Safetensors
Vietnamese
uni_vsfc_transformer
vietnamese
custom-code
multilingual-e5
uni_vsfc
uit-vsfc
education
multitask
custom_code
Instructions to use NeoCyber/m-e5-small-uit-vsfc-uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeoCyber/m-e5-small-uit-vsfc-uni with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NeoCyber/m-e5-small-uit-vsfc-uni", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("NeoCyber/m-e5-small-uit-vsfc-uni", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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