Instructions to use gowitheflowlab/en-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-pl")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-pl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b76ffefdcb354f734e1c8d7d7815f5bb690efe9be17dd77f58273a3a8d439cb
- Size of remote file:
- 3.38 kB
- SHA256:
- de118443247292b97b408bab5640bc94107355584a7ad891eec00e467d43c937
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