Instructions to use simonmun/COHA1920s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1920s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1920s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1920s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1920s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018215d2f050718c980ab795a67c744fe9cdd44bed8857059a640a30a0972a1b
- Size of remote file:
- 334 MB
- SHA256:
- df4a242f13144bae0eb0f129db158aa67d80a03eae9a5fd1c846b52dcff44059
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