Instructions to use yenrong/classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yenrong/classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yenrong/classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yenrong/classification_model") model = AutoModelForSequenceClassification.from_pretrained("yenrong/classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 788d33d066c85ad3005d5a40c8b8519fd83ba8da42b8edb1d4f29263772b1d81
- Size of remote file:
- 5.3 kB
- SHA256:
- 0fb20a9284e6381679908c334863952ba4a8fc7626708e90530a81007066f2e9
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