Instructions to use TangoBeeAkto/codenlbert-tiny-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TangoBeeAkto/codenlbert-tiny-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TangoBeeAkto/codenlbert-tiny-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TangoBeeAkto/codenlbert-tiny-onnx") model = AutoModelForSequenceClassification.from_pretrained("TangoBeeAkto/codenlbert-tiny-onnx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43629805323cac21badfd4e33e679223e987ebc698c472c905a8234e0258434e
- Size of remote file:
- 17.6 MB
- SHA256:
- 6833e737f3da417dcb68307dfb7a6f677a944c29779711f5f2d081556028755b
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