Instructions to use simonmun/COHA1970s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1970s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1970s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1970s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1970s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from simonmun/COHA1970s: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/simonmun/COHA1970s/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://simonmun/COHA1970s@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/simonmun/COHA1970s/resolve/refs%2Fpr%2F1/flax_model.msgpack
334 MB
- Xet hash:
- 1eb10fe55aab944e891e2edc4865882af2be210e5f0b8581a545ce32ea9ebcc2
- Size of remote file:
- 334 MB
- SHA256:
- 375450638a6cf6d15694347339cb7e78db77cef00adb6c300f272df43cd6d62b
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