Instructions to use simonmun/Lo_SentenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/Lo_SentenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonmun/Lo_SentenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonmun/Lo_SentenceClassification") model = AutoModelForSequenceClassification.from_pretrained("simonmun/Lo_SentenceClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9091472ecd7357faae881813a289f315b19278e3218e7a0a90e3e70900e6c54
- Size of remote file:
- 369 MB
- SHA256:
- a192ff321c9781d510c538230a32a4eafa0d33cdd57d02ab557abf0b92b2cce5
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