Instructions to use Ct1tz/Codebert-Base-B2D4G5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ct1tz/Codebert-Base-B2D4G5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ct1tz/Codebert-Base-B2D4G5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ct1tz/Codebert-Base-B2D4G5") model = AutoModelForSequenceClassification.from_pretrained("Ct1tz/Codebert-Base-B2D4G5") - Notebooks
- Google Colab
- Kaggle
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README.md
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new_version: Ct1tz/Codebert-Base-B2D4G5
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tags:
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- code
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new_version: Ct1tz/Codebert-Base-B2D4G5
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tags:
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- code
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sdk: gradio
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sdk_version: 5.0.1
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hf_oauth: true
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hf_oauth_scopes:
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- inference-api
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