Instructions to use simonmun/COHA1820s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1820s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1820s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1820s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1820s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac426b986fa40758f013736407a743a1092eaa280e128e95851d84d13741e69c
- Size of remote file:
- 334 MB
- SHA256:
- d6407e1605a241f483263b94021100a1b95e9b9bfb55a206d1acfd4a7fd2a023
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