Instructions to use simonmun/COHA1890s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1890s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1890s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1890s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1890s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25057874f2f7f1e784403f3880baee40b47b008ca0d9472d85fbf5b9cb7829bb
- Size of remote file:
- 334 MB
- SHA256:
- a68934ab4e080b5884c08019a07fb51e2f577d262503d788090e25240dc6a39c
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