Instructions to use simonmun/COHA1870s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1870s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1870s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1870s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1870s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from simonmun/COHA1870s: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/simonmun/COHA1870s/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://simonmun/COHA1870s@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/simonmun/COHA1870s/resolve/refs%2Fpr%2F1/flax_model.msgpack
334 MB
- Size of remote file:
- 334 MB
- SHA256:
- e3715037cbf8ff9ae08a093795bec051430cdb04dc9250525f206d07ee7c44aa
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