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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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upload flax model
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allow flax
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added model
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initial commit
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