Instructions to use harish/PT-TrueTrue-0_0_BEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/PT-TrueTrue-0_0_BEST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harish/PT-TrueTrue-0_0_BEST")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harish/PT-TrueTrue-0_0_BEST") model = AutoModelForSequenceClassification.from_pretrained("harish/PT-TrueTrue-0_0_BEST") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21995e7ec83f990eeb4551f58ec3096010fe99ef910e93c8232b7ce98cbf353c
- Size of remote file:
- 711 MB
- SHA256:
- f1b428af63d9300b2469625a267377b8704cb1370bfab07766534845c8af8ff6
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