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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1810to1850") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1810to1850", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from simonmun/COHA1810to1850: direct link, hf CLI and curl.
- Browser
- Download file 1.84 kB
-
https://huggingface.co/simonmun/COHA1810to1850/resolve/main/training_args.bin
- Command line
-
hf download hf://simonmun/COHA1810to1850/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/simonmun/COHA1810to1850/resolve/main/training_args.bin
1.84 kB
- Xet hash:
- 028277bafc04dd640e66c7d5a81d8e870419fbfb8bf3f7de62bd0e8a1793f11f
- Size of remote file:
- 1.84 kB
- SHA256:
- 1b705bdfdfc4c87fed78ccf838ea3f7fc9fd5e9b9bcb5743d6ffff534b72a60e
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