Instructions to use gowitheflowlab/en-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-zh")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-zh", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e59f617e6cad87c305e69bdd50b32f682e809625b5f486e3fb7fd3cae723a11
- Size of remote file:
- 3.38 kB
- SHA256:
- 6e8ff7bef4951fd214e89c31771b3523ac581c71f96ca06dc2b2f4331d0bf4e7
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