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 pytorch_model.bin from simonmun/COHA1810to1850: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/simonmun/COHA1810to1850/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simonmun/COHA1810to1850/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simonmun/COHA1810to1850/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- 4ea0072d8ed89ae14cf96610f25b994510870f0c9656bce0dc856c92da346dd0
- Size of remote file:
- 334 MB
- SHA256:
- f3ecc10c6e16a9896dcb78e5d85083a17bf75d89270ec4e689e2d082a1d56dc9
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