Instructions to use hallisky/blog-classifier-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hallisky/blog-classifier-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hallisky/blog-classifier-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hallisky/blog-classifier-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("hallisky/blog-classifier-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 219eee045ce8130eca7d3f853e9a058a03c6dbd183e53f8d1a123d3024e53c6b
- Size of remote file:
- 4.92 kB
- SHA256:
- 210697ad7cabcb2c1833e5cc5256d8b0d0217b0f19e9cb8aacc26772fed67b02
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