Instructions to use gg-ai/tws-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg-ai/tws-quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gg-ai/tws-quantized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gg-ai/tws-quantized") model = AutoModelForSequenceClassification.from_pretrained("gg-ai/tws-quantized") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bbb071aa28920c145f6f0e622caa6a9ad9cdb14a063253bc9fb9200c6a837d9
- Size of remote file:
- 242 MB
- SHA256:
- addcca900c0cc02690cadb7b4727d7c582afb5f7ce9e36f63a1578f7228ff829
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