Instructions to use 24bean/kcelectra_senti_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 24bean/kcelectra_senti_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="24bean/kcelectra_senti_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("24bean/kcelectra_senti_binary") model = AutoModelForSequenceClassification.from_pretrained("24bean/kcelectra_senti_binary") - Notebooks
- Google Colab
- Kaggle
Upload optimizer.pt
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:564a566cb61dca492cb2bb5e41635581c65936fd3fb3c0f296f986fe44de02f2
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size 996488989
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