Instructions to use Bebish/codebro_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bebish/codebro_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bebish/codebro_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bebish/codebro_v1") model = AutoModelForSequenceClassification.from_pretrained("Bebish/codebro_v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc594da337858beb0254ac1d1d013bee33a8a6acf6cca403b3394e1c092f6b81
- Size of remote file:
- 439 MB
- SHA256:
- 79f83015915b2be3d94a3f1a0c7a376b7d725bc6825761562b6d09aab93d80ec
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