Instructions to use simonmun/COHA2000s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA2000s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA2000s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA2000s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA2000s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0693e79
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Parent(s): d164601
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:fb2bce475760250c3cf52f0aa8d523cc13413fb03190c284d3c0591eea001350
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size 334021505
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