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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonmun/Lo_SentenceClassification") model = AutoModelForSequenceClassification.from_pretrained("simonmun/Lo_SentenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
320c4fe
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Parent(s): 4c05f78
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0ca8fc56468d71e7d5399173228c5ddcc8d76af3e723e63d9b299ffc3cc2f82
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size 368773192
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