Instructions to use simonmun/COHA1910s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1910s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1910s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1910s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1910s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simonmun/COHA1910s: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/simonmun/COHA1910s/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://simonmun/COHA1910s/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simonmun/COHA1910s/resolve/main/pytorch_model.bin
336 MB
- Xet hash:
- 31e5d0b0231ccc8e36e4944908449667b0aa880f5a3974e42975789fd20b62cb
- Size of remote file:
- 336 MB
- SHA256:
- 9e77136fdbc9ea414bb0a7ef4da2163b0ccd448e992a903d6cf3cc2d5aea1eda
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