Instructions to use simonmun/COHA1990s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonmun/COHA1990s with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simonmun/COHA1990s")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simonmun/COHA1990s") model = AutoModelForMaskedLM.from_pretrained("simonmun/COHA1990s", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
1eba657
1
Parent(s): dacd108
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 sha256:6f91d632c1f2da48e45b7e2aff4de6e6e19b31f4150adf7e1f28c65e1674382c
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size 334021505
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