Instructions to use simonmun/COHA1910s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1910s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1910s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1910s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1910s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84d7f867a690aa8c201f9a6e45a17580ea438c76e67be830dc16b3a2fd6f9b58
- Size of remote file:
- 334 MB
- SHA256:
- 17b28349e9fe8957e6421d5e1d2511a8d38e79f0471ed68ce88f7c3675b561a7
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