Instructions to use malteklaes/based-CodeBERTa-language-id-llm-module with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteklaes/based-CodeBERTa-language-id-llm-module with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="malteklaes/based-CodeBERTa-language-id-llm-module")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malteklaes/based-CodeBERTa-language-id-llm-module") model = AutoModelForSequenceClassification.from_pretrained("malteklaes/based-CodeBERTa-language-id-llm-module") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7634a575fd4765cc665c23df82c7783593c44304d5bbc3987200f844d3626d3f
- Size of remote file:
- 334 MB
- SHA256:
- 2a54e60ea31f46c71e1be86cad8c50b2716cd036737ff814e9707077f8e79354
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