Instructions to use buelfhood/CodeBERT_TrBCB_ChaFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buelfhood/CodeBERT_TrBCB_ChaFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="buelfhood/CodeBERT_TrBCB_ChaFT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("buelfhood/CodeBERT_TrBCB_ChaFT") model = AutoModelForSequenceClassification.from_pretrained("buelfhood/CodeBERT_TrBCB_ChaFT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:78ff82247a2c1a3f5fb02f2022f9fd2d87d6178715f53b8bdfcb2702c1394365
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size 498612824
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