Instructions to use kevinjesse/codeberta-MT4TS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinjesse/codeberta-MT4TS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kevinjesse/codeberta-MT4TS")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kevinjesse/codeberta-MT4TS") model = AutoModelForTokenClassification.from_pretrained("kevinjesse/codeberta-MT4TS") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): cd4942b
add model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7de173483c3702fe76b47af8a48ffd13f91bbc66336cec501d5c296b05eb7fd5
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size 485291287
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