Instructions to use Outposts/news-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Outposts/news-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Outposts/news-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Outposts/news-classification") model = AutoModelForSequenceClassification.from_pretrained("Outposts/news-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download info.pkl from Outposts/news-classification: direct link, hf CLI and curl.
- Browser
- Download file 42 Bytes
-
https://huggingface.co/Outposts/news-classification/resolve/main/info.pkl
- Command line
-
hf download hf://Outposts/news-classification/info.pkl
-
curl -L -o info.pkl https://huggingface.co/Outposts/news-classification/resolve/main/info.pkl
42 Bytes
- Xet hash:
- 65c702f3cfa2b9ba02bf9444025921da2dc9f1c4c9f91dcbdad01c541e6a378c
- Size of remote file:
- 42 Bytes
- SHA256:
- dc8143ba489dae6db012909607b64f6096c6b566fd90ed92240e9e6e8167f674
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