Instructions to use peter-nagy/deep-grader-codebert-cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter-nagy/deep-grader-codebert-cpp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peter-nagy/deep-grader-codebert-cpp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peter-nagy/deep-grader-codebert-cpp") model = AutoModelForSequenceClassification.from_pretrained("peter-nagy/deep-grader-codebert-cpp") - 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 sha256:0ad74bd25cbd9708f71563d715e1807fa3a02758ef729da20f434ca9b85ad67f
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size 498617024
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