Instructions to use sackoh/bert-base-multilingual-cased-nsmc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sackoh/bert-base-multilingual-cased-nsmc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sackoh/bert-base-multilingual-cased-nsmc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sackoh/bert-base-multilingual-cased-nsmc") model = AutoModelForSequenceClassification.from_pretrained("sackoh/bert-base-multilingual-cased-nsmc") - Notebooks
- Google Colab
- Kaggle
No model card
- Downloads last month
- 6