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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ccb9bdda390b7ff2385e7f77e4951daf1fbcccae2fc3979945378f692c50294
- Size of remote file:
- 3.38 kB
- SHA256:
- 39824bb994fc8fda16bb67f2bec08ca27fe1774450f369152e6489ffe10600f8
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