Instructions to use gowitheflowlab/en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-de")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-de", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7729ffb4e34cad3f538d85b41301999e40402aff922e88d6c6b4c81da8e81547
- Size of remote file:
- 345 MB
- SHA256:
- d647e8086d12b1dada2d9864114a04de023d2f066d1cbc54951afe44c25218b0
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