Instructions to use patricklai14/tapt_citation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patricklai14/tapt_citation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="patricklai14/tapt_citation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("patricklai14/tapt_citation") model = AutoModelForMaskedLM.from_pretrained("patricklai14/tapt_citation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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upload flax model
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allow flax
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Replace pre-trained citation model
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Add merges file
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add tokenizer, other supplementary files
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Upload model
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initial commit
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