Text Classification
Transformers
Safetensors
bert
vietnamese
nli
mbert
natural-language-inference
Generated from Trainer
text-embeddings-inference
Instructions to use lyle49/mbert_vietnamese_nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyle49/mbert_vietnamese_nli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lyle49/mbert_vietnamese_nli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lyle49/mbert_vietnamese_nli") model = AutoModelForSequenceClassification.from_pretrained("lyle49/mbert_vietnamese_nli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd0c753a0dc3ecc02f6b3b50a2210eda8803aa704d9b0a6c6681e71135233742
- Size of remote file:
- 5.84 kB
- SHA256:
- 2b76ac935da52531ee30790a3d4fde7cd23059123662a415982c5457e4bb8a08
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