Text Classification
Transformers
Safetensors
roberta
codebert
vulnerability-detection
php
javascript
detecode
text-embeddings-inference
Instructions to use dunguasli/detecode-model-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dunguasli/detecode-model-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dunguasli/detecode-model-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dunguasli/detecode-model-v1") model = AutoModelForSequenceClassification.from_pretrained("dunguasli/detecode-model-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0118221143973cae9dd426832b0184d87944142f519b94f6e14abefa5823cbb
- Size of remote file:
- 5.27 kB
- SHA256:
- d29f62b2668fb205e8ad29350c893addf69b6eeb3733f1bccbf2cc42687e7b34
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