Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use malteklaes/based-CodeBERTa-language-id-llm-module_uniVienna 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_uniVienna 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_uniVienna")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malteklaes/based-CodeBERTa-language-id-llm-module_uniVienna") model = AutoModelForSequenceClassification.from_pretrained("malteklaes/based-CodeBERTa-language-id-llm-module_uniVienna") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
training ready and trainer pushed: uniVienna-go-java-javascript-php-python-ruby-cpp-lang
f66c55e verified