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", device_map="auto")# 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
- Xet hash:
- 69f842cf3e0b01a902293bfdcfada16897b0915bc76b5fd287121159ca356466
- Size of remote file:
- 499 MB
- SHA256:
- 45fd0cefe27965b652d4679966d1d95ae29de4442224d820b7c4655ec2df8264
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