Instructions to use Maikobi/scibert_error_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maikobi/scibert_error_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maikobi/scibert_error_detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maikobi/scibert_error_detection") model = AutoModelForSequenceClassification.from_pretrained("Maikobi/scibert_error_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload BertForSequenceClassification
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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"transformers_version": "4.53.2",
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"type_vocab_size": 2,
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"use_cache": true,
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}
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"transformers_version": "4.53.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f4a8ac935f44fd367a7ee2604e81f3a18bef1f0b69b625aeab094fa7852c528
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size 437958648
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