Instructions to use gowitheflowlab/en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-ru")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f0524b622dc27df34ffaa9091a973a52bbe3b3ab347660fc52d8d1ec7c41a3f
- Size of remote file:
- 3.38 kB
- SHA256:
- c96079c2ce389b1df7e52219ce1f29335b78884cc09a2b345ea48d982dba3c9e
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