Instructions to use daspartho/subreddit-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daspartho/subreddit-predictor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="daspartho/subreddit-predictor")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daspartho/subreddit-predictor") model = AutoModelForSequenceClassification.from_pretrained("daspartho/subreddit-predictor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e671d240d31293077e1168f3bb6c57e0b8dd1fd6b818c85fd06d2a4d10f837ba
- Size of remote file:
- 3.39 kB
- SHA256:
- a7c5a04edc3590bd8c42ee95e56afc0e5ee73abc696dc1c91c817b53f81fa998
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.