Instructions to use simonmun/COHA1960s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1960s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1960s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1960s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1960s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
9e7175e
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Parent(s): 0fd203e
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 sha256:31b4df4a61c74956e69cd30c6c344c4757e197536985752afc4bccf30ffd0d05
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size 334021505
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