Instructions to use codistai/codeBERT-small-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codistai/codeBERT-small-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="codistai/codeBERT-small-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("codistai/codeBERT-small-v2") model = AutoModelForMaskedLM.from_pretrained("codistai/codeBERT-small-v2") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): fe1d979
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 sha256:41a140abe9ed4ff3383f53dcae38755815e921cc8ea7eca2b862924523f0cc53
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size 758326739
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