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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("daspartho/subreddit-predictor") model = AutoModelForSequenceClassification.from_pretrained("daspartho/subreddit-predictor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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Librarian Bot: Update dataset YAML metadata for model (#1)
- Librarian Bot: Update dataset YAML metadata for model (a2ad3d60a29527d2b50b17e654d36444305ee2da) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>eee935f
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update model
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updated model to 250 subs
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Update README.md
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Upload pytorch_model.bin
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Upload training_args.bin
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Upload tokenizer.json
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Upload tokenizer_config.json
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Upload vocab.txt
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Upload special_tokens_map.json
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Upload config.json
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initial commit
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