Instructions to use Oranblock/trained_marble_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oranblock/trained_marble_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Oranblock/trained_marble_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Oranblock/trained_marble_model") model = AutoModelForSequenceClassification.from_pretrained("Oranblock/trained_marble_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload test_dataset/state.json with huggingface_hub
Browse files- test_dataset/state.json +13 -0
test_dataset/state.json
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{
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"_data_files": [
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{
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"filename": "data-00000-of-00001.arrow"
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],
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"_fingerprint": "69f4fff0eaadc1e8",
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"_format_columns": null,
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"_format_kwargs": {},
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"_format_type": null,
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"_output_all_columns": false,
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"_split": null
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}
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