Instructions to use seemdog/manchuBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seemdog/manchuBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="seemdog/manchuBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("seemdog/manchuBERT") model = AutoModelForMaskedLM.from_pretrained("seemdog/manchuBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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# Citation
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@misc {manchuBERT2023,
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author = { {Jean Seo} },
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title = { manchuBERT(Revision 64133be) },
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year = 2023,
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url = { https://huggingface.co/seemdog/manchuBERT },
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doi = { 10.57967/hf/1599 },
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publisher = { Hugging Face }
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}
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# Citation
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{{ citation_bibtex | default("[@misc {manchuBERT2023,
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author = { {Jean Seo} },
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title = { manchuBERT(Revision 64133be) },
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year = 2023,
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url = { https://huggingface.co/seemdog/manchuBERT },
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doi = { 10.57967/hf/1599 },
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publisher = { Hugging Face }
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}]", true)}}
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