Instructions to use simonmun/COHA1950s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1950s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1950s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1950s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1950s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37824932c8b8319d4581dd1145100f7c3bcccc45c105840ec35ea9437cdec8eb
- Size of remote file:
- 334 MB
- SHA256:
- e3a2b34d6b82f86fa9eb709ad7edcbf307434fba84f0a834169713f79552b250
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