Instructions to use harish/PT-FalseTrue-0_2_BEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/PT-FalseTrue-0_2_BEST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harish/PT-FalseTrue-0_2_BEST")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harish/PT-FalseTrue-0_2_BEST") model = AutoModelForSequenceClassification.from_pretrained("harish/PT-FalseTrue-0_2_BEST") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32ec7e0b739fa072a3197f4f9160dd53813edcacf5e21362c480716e37f3fe77
- Size of remote file:
- 711 MB
- SHA256:
- eedbbb8317e1ae6375eb5919130adf5e75d6a7e9ff1d7f97768b50d80bb79f28
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