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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13db8d3d60d1e8f622ba53ee931b363b970fbaba78161ab55a87fe735752b811
- Size of remote file:
- 345 MB
- SHA256:
- 71e8021066f726e1256f06d15a18422c688a568f6add58875c07ab6cec6c4fe2
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