Instructions to use simonmun/COHA1880s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1880s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1880s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1880s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1880s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
63aaad7 -
allow flax
40fe765
-
Update vocab.json
d981e44 -
Update pytorch_model.bin
9abcf02 -
Update training_args.bin
af83d7f -
Update merges.txt
81be444 -
Update config.json
ebe3c71
-
Update vocab.json
730c06d -
Update merges.txt
0157dc5 -
Update config.json
437f286 -
initial commit
d07dc3b