Instructions to use soyee/classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soyee/classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="soyee/classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("soyee/classifier") model = AutoModelForSequenceClassification.from_pretrained("soyee/classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 942fff07fe4121aeab01d5049edba1d25699350e132ab04fdacac252b5f46d6e
- Size of remote file:
- 4.09 kB
- SHA256:
- bfe18e0dab6a2f9a784befa022e5c66dfc87e8d1a34ce55ec8a2c5bbb9ff2d6b
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