Instructions to use michiel/checkthat_tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michiel/checkthat_tinybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michiel/checkthat_tinybert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("michiel/checkthat_tinybert") model = AutoModelForSequenceClassification.from_pretrained("michiel/checkthat_tinybert") - Notebooks
- Google Colab
- Kaggle
Upload BertForSequenceClassification
Browse files- config.json +1 -1
config.json
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"problem_type": "single_label_classification",
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"structure": [],
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"torch_dtype": "float32",
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"transformers_version": "4.
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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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"problem_type": "single_label_classification",
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"structure": [],
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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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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