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:
- 8ffd674f4f4dc533e5ce17597231e1a24863ab1712245ca37024d3b961c763c9
- Size of remote file:
- 3.39 kB
- SHA256:
- 7a9b9746c8622e7bd4cf24c14d09748b04b8bf200b4085a254ecaea5a4ab062f
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