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:
- 27f0e0b37168ef3f0f24aff45e2a9db247261073ce1a52deccdb44f22f5c38db
- Size of remote file:
- 1.52 kB
- SHA256:
- 65d21e8719139c1108f52c07c5da384357f34d9747e3e36bed35042957120413
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