Instructions to use paragsmhatre/20_news_group_classifier_open_web_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paragsmhatre/20_news_group_classifier_open_web_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paragsmhatre/20_news_group_classifier_open_web_text")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paragsmhatre/20_news_group_classifier_open_web_text") model = AutoModelForSequenceClassification.from_pretrained("paragsmhatre/20_news_group_classifier_open_web_text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff891fe009e46067bbe67a7e696336602d6f6dec1442c657ef8fcde6e78362c1
- Size of remote file:
- 99.9 MB
- SHA256:
- e9994872b5ad6ddf57a94215f2207b2aa39bf2f0a4d20a6b72161b6345dbb7c9
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