Instructions to use simonmun/COHA1960s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1960s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1960s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1960s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1960s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71a802ebcf0b7cc0d0c7c9bcc2caa26db1254d232f8c0ccafc4ce8e865522ee0
- Size of remote file:
- 334 MB
- SHA256:
- 31b4df4a61c74956e69cd30c6c344c4757e197536985752afc4bccf30ffd0d05
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