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:
- 5bddc27747561c3fc331b317f0472988820e7ccf84ef3090a5a3f74c4c72ccc0
- Size of remote file:
- 345 MB
- SHA256:
- 2e39b9696c8e4598a59775ddb780025bdc9b50c2f3cc68e7efb93d2517d45333
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