Instructions to use valurank/finetuned-distilbert-news-article-categorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valurank/finetuned-distilbert-news-article-categorization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="valurank/finetuned-distilbert-news-article-categorization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valurank/finetuned-distilbert-news-article-categorization") model = AutoModelForSequenceClassification.from_pretrained("valurank/finetuned-distilbert-news-article-categorization") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95661a0ce905d5b51ed5a1ec6c25aafedf2cbb56ae707bde49a7d44342fa4d67
- Size of remote file:
- 268 MB
- SHA256:
- e4e8d0054f81b2ba8e84db21de7813acaa604b8a13e8eb67badadb97c9453eb6
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