Instructions to use gszabo/base_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gszabo/base_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gszabo/base_test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gszabo/base_test") model = AutoModelForMaskedLM.from_pretrained("gszabo/base_test") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"transformers_version": "4.25.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size":
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}
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"transformers_version": "4.25.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 91842
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}
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