Instructions to use gowitheflowlab/en-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowitheflowlab/en-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gowitheflowlab/en-nl")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("gowitheflowlab/en-nl", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c7695e373b0daa795eab8b9088a15ae8244a334574528ccc839a2323bcec77a
- Size of remote file:
- 345 MB
- SHA256:
- ef6ddcf12be618891badb9ab5bd0fa7f346d078efaae344c923ddea0787e435f
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