Instructions to use andreas122001/bloomz-3b-academic-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/bloomz-3b-academic-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/bloomz-3b-academic-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/bloomz-3b-academic-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/bloomz-3b-academic-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
2f00766
1
Parent(s): ed33b00
Update config.json
Browse files- config.json +1 -1
config.json
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"pad_token_id": 3,
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"pretraining_tp": 4,
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"problem_type": "single_label_classification",
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"seq_length":
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"pad_token_id": 3,
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"pretraining_tp": 4,
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"problem_type": "single_label_classification",
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"seq_length": 2048,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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