Instructions to use simonmun/COHA1810s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1810s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1810s")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1810s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1810s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a8df62d9056facdfed45b8f738810d75eb77d58353eb6e26cf0fcf6bff6fcf6
- Size of remote file:
- 334 MB
- SHA256:
- 18fac318e670953aeb46b5a025e1123a4708188ed540138f50eec472e510a3fa
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