Instructions to use simonmun/COHA1930s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1930s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1930s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1930s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1930s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0138b37fe01f954f68ee1efc5a2f5e4f2250df1bbaeed8b903baea340977e897
- Size of remote file:
- 334 MB
- SHA256:
- 231d81840034eab0718cb97e3f02684db3304aad187f038fe18999bd7e708227
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