Instructions to use khanh98/model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanh98/model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khanh98/model3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khanh98/model3") model = AutoModelForSequenceClassification.from_pretrained("khanh98/model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
af70a30
1
Parent(s): b7b2d05
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 sha256:05622b242748f0813827f1e013f9516e9c2d94825307e20bf6b2c85419dcabc0
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size 540006461
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