Instructions to use simonmun/COHA1840s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1840s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1840s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1840s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1840s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79a15c5a4af66541d9c57dc999543ee506cbbb61368dd60a9b25224c46f25ff4
- Size of remote file:
- 334 MB
- SHA256:
- a07eac1e2b012719210ffcc52ca29b44fda6e14c00a7c8f66f7668cadf34e483
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