Instructions to use simonmun/COHA1860s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1860s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1860s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1860s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1860s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e263788584daf3c1a325a1a8307a2ce1538795addb67800ea5cf5b7ab33d099
- Size of remote file:
- 334 MB
- SHA256:
- 1e400534cde272f19dfe26cd8326f351b9016d43129b4c1bdcc8140412c199e6
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