Instructions to use TurkuNLP/web-register-classification-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/web-register-classification-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TurkuNLP/web-register-classification-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TurkuNLP/web-register-classification-multilingual") model = AutoModelForSequenceClassification.from_pretrained("TurkuNLP/web-register-classification-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71b920d6b7e0c5f308ded753a54fd126a72c03a34ec7fa1529be06bc0ec5cd25
- Size of remote file:
- 1.12 GB
- SHA256:
- 688d9075d2d72268cec7662e316b2ee17d8757f3ec004f3ad1ba186c604ca49d
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