Instructions to use simonmun/COHA1830s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1830s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1830s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1830s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1830s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
12bd719 -
allow flax
2a92a4d
-
Update vocab.json
c19a87a -
Update pytorch_model.bin
1f545bc -
Update training_args.bin
803b3b1 -
Update merges.txt
a151eb9 -
Update config.json
eb206de
-
Update vocab.json
4197b39 -
Update merges.txt
d805c0c -
Update config.json
4f92a95 -
initial commit
1cccab6