Instructions to use HarikaR/swedish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HarikaR/swedish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HarikaR/swedish")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HarikaR/swedish") model = AutoModelForSequenceClassification.from_pretrained("HarikaR/swedish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8e931fa4f27efa6de2b52dc72ceea24a64f2509f8368a3871aef6db4b4b4946
- Size of remote file:
- 4.54 kB
- SHA256:
- 2ccdf317e3b81238dc68832bde56adf5e167f4512c53edab4f1792dfa53c1156
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