Text Classification
Transformers
PyTorch
Safetensors
English
bert
nlp
code
classification
text-embeddings-inference
Instructions to use vishnun/codenlbert-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun/codenlbert-sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishnun/codenlbert-sm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishnun/codenlbert-sm") model = AutoModelForSequenceClassification.from_pretrained("vishnun/codenlbert-sm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#8)
- Adding `safetensors` variant of this model (1b07736413e90b8e7b372fba5a95ce0a63bcb53d) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0ae4bd9
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