Instructions to use simonmun/COHA1890s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1890s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1890s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1890s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1890s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simonmun/COHA1890s: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/simonmun/COHA1890s/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://simonmun/COHA1890s@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simonmun/COHA1890s/resolve/refs%2Fpr%2F1/training_args.bin
1.78 kB
- Xet hash:
- ebc878a91bda4e9edf92e5ca0ff52601ddcff83496cac27b854442a9ada69b22
- Size of remote file:
- 1.78 kB
- SHA256:
- 1178774a7d29b97ddef28e49aaf1834fc8e358c23870224c5e440a0885b629f7
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