Instructions to use J-Seo/BIH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use J-Seo/BIH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="J-Seo/BIH")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("J-Seo/BIH") model = AutoModelForSequenceClassification.from_pretrained("J-Seo/BIH") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d3efd78880c7c5ba4fd63f994de841af3b7bc4e88ac58ddef131cc13b5acb71
- Size of remote file:
- 1.35 GB
- SHA256:
- 005c725ac1a7ab2b67ea427926122a9cce9ffd8553120cd8292b7950c290899f
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