Instructions to use TurkuNLP/web-register-classification-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/web-register-classification-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TurkuNLP/web-register-classification-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TurkuNLP/web-register-classification-en") model = AutoModelForSequenceClassification.from_pretrained("TurkuNLP/web-register-classification-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f590d3c23feec331f14a2eb712b8e2705cbbb0340dd92da2803bdd47c58c7ce3
- Size of remote file:
- 4.98 kB
- SHA256:
- d27f6ad61a07f61d10473c33c79662539547ff90f50593a9dfc4acd64b736176
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