Instructions to use simonmun/COHA1900s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1900s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1900s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1900s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1900s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42f004930887a1dff5d720c9b4747b000e335100874e046c6e4db451c44b5910
- Size of remote file:
- 334 MB
- SHA256:
- 3e3f12c14c52c3ca3f8dd40bb1fa12385d9713aaee8112b1451045d29f6f396c
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