Instructions to use simonmun/COHA1850s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1850s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1850s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1850s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1850s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simonmun/COHA1850s: direct link, hf CLI and curl.
- Browser
- Download file 1.23 kB
-
https://huggingface.co/simonmun/COHA1850s/resolve/main/training_args.bin
- Command line
-
hf download hf://simonmun/COHA1850s/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simonmun/COHA1850s/resolve/main/training_args.bin
1.23 kB
- Xet hash:
- 2f95a4c2e54cb271685e1877b4257e11542c3185a15f0fb7bd79ff3d8e736e33
- Size of remote file:
- 1.23 kB
- SHA256:
- 6c6a2318b39a07e371f496eee2f605f45f00abdd87d52e5fa02509728a6017c6
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