Instructions to use simonmun/COHA1860s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1860s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1860s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1860s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1860s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): a49ce9f
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:1e400534cde272f19dfe26cd8326f351b9016d43129b4c1bdcc8140412c199e6
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size 334021505
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