Instructions to use simonmun/COHA1810to1850 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1810to1850 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1810to1850")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1810to1850") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1810to1850") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f840d91a696782d982cd72573b0618745643be1c7a0082713fc4cc2b898651b3
- Size of remote file:
- 334 MB
- SHA256:
- 1f272b3339df6169d445c9c7c09ec19e590687d79162ab7081d0e3423d53841d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.