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:
- 4fe84c79ad05a742c3e6f5b494876c969f55b021413b6c784c2b4c829aca3941
- Size of remote file:
- 345 MB
- SHA256:
- fbf8f7622f924e441d2733779d26c36015c65fe00ebd0cbd08c14de725ffafd1
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