Instructions to use harish/PT-FalseFalse-0_2_BEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/PT-FalseFalse-0_2_BEST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harish/PT-FalseFalse-0_2_BEST")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harish/PT-FalseFalse-0_2_BEST") model = AutoModelForSequenceClassification.from_pretrained("harish/PT-FalseFalse-0_2_BEST") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): e390633
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:f955ba072d9e3de1d759bdb48006ac1ea2786ed9ed29ffdddbfdd06b42e05819
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size 711427130
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