Instructions to use OliBomby/CM3P-ranked-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliBomby/CM3P-ranked-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliBomby/CM3P-ranked-classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("OliBomby/CM3P-ranked-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add CM3P model
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Rename beatmap_tokenizer\vocab.json to beatmap_tokenizer/vocab.json
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Rename beatmap_tokenizer\tokenizer_config.json to beatmap_tokenizer/tokenizer_config.json
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Rename beatmap_tokenizer\special_tokens_map.json to beatmap_tokenizer/special_tokens_map.json
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