Instructions to use daxa-ai/pebblo-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daxa-ai/pebblo-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daxa-ai/pebblo-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daxa-ai/pebblo-classifier") model = AutoModelForSequenceClassification.from_pretrained("daxa-ai/pebblo-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb40527cfb0aa4dc0dc9df1a1dfc41b01a9743717a277e64c4502601f6e184c1
- Size of remote file:
- 268 MB
- SHA256:
- 231c166001b51adbeecfddd55563569a52981f7c88e3802364368f76e86279d2
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