Instructions to use simonmun/COHA1950s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1950s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1950s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1950s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1950s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from simonmun/COHA1950s: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/simonmun/COHA1950s/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://simonmun/COHA1950s@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/simonmun/COHA1950s/resolve/refs%2Fpr%2F1/flax_model.msgpack
334 MB
- Xet hash:
- 37824932c8b8319d4581dd1145100f7c3bcccc45c105840ec35ea9437cdec8eb
- Size of remote file:
- 334 MB
- SHA256:
- e3a2b34d6b82f86fa9eb709ad7edcbf307434fba84f0a834169713f79552b250
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