Instructions to use Adignite/query-topic-l1-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adignite/query-topic-l1-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Adignite/query-topic-l1-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Adignite/query-topic-l1-classifier") model = AutoModelForSequenceClassification.from_pretrained("Adignite/query-topic-l1-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a16b6911690f2a438c071566742819553179fd139c7eed45e6981d9ef048a8ba
- Size of remote file:
- 268 MB
- SHA256:
- 4c70ba5f506c27411c8348f01f91189a2b933e691368aa9bca8d1f8f354260bc
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