Instructions to use simonmun/COHA1980s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1980s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1980s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1980s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1980s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9049a5c9084d0e7e2c9675227fee1ed5eb669fdfe893da3a89dddd9d3c86dca7
- Size of remote file:
- 334 MB
- SHA256:
- f2c4898f17fc98cfeaaf7424e4d1e05ee3b909871a26e961f20dc5244f864415
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