Instructions to use Itcast/bert-base-cnc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Itcast/bert-base-cnc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Itcast/bert-base-cnc")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Itcast/bert-base-cnc") model = AutoModelForMaskedLM.from_pretrained("Itcast/bert-base-cnc") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 40fa4f0
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:c1599829ec21a1bb9cfdd79c3696c0dce771c8b14e22d06dcb4942ef7904d765
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size 409168515
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