Instructions to use cook/cicero-similis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cook/cicero-similis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cook/cicero-similis")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cook/cicero-similis") model = AutoModelForMaskedLM.from_pretrained("cook/cicero-similis") - Notebooks
- Google Colab
- Kaggle
Commit ·
b3fa48a
1
Parent(s): 382479b
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 sha256:0e6882aa3f3848125ba6bfd788f8dcbb1ee457d6f3302e05902f8caa5628f991
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size 250963377
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