Instructions to use simonmun/COHA1940s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1940s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1940s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1940s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1940s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from simonmun/COHA1940s: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/simonmun/COHA1940s/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://simonmun/COHA1940s@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simonmun/COHA1940s/resolve/refs%2Fpr%2F1/pytorch_model.bin
336 MB
- Xet hash:
- e22f49c623443b3e959e485d78e48b3c3085ef7a0ed0318c574ad07209031662
- Size of remote file:
- 336 MB
- SHA256:
- e16b606de1add2f5fdf653f52c8cd31d534a8d8f697c284f6d9c4af866f15e19
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