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
Commit ·
eaea577
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Parent(s): 039ea33
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:e3a2b34d6b82f86fa9eb709ad7edcbf307434fba84f0a834169713f79552b250
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size 334021505
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