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:
- cb9bd43a4a7ed98830a914b6dc2b0d2db5a6838153c6dbf59798364257fa9e6a
- Size of remote file:
- 443 MB
- SHA256:
- 68dfac82fcf3e918f7d932073c0326afaa4da666d63a3a6eacf774b4412c5f92
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