Instructions to use addy88/programming-lang-identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/programming-lang-identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addy88/programming-lang-identifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addy88/programming-lang-identifier") model = AutoModelForSequenceClassification.from_pretrained("addy88/programming-lang-identifier") - Notebooks
- Google Colab
- Kaggle
| This model is funetune version of Codebert in roberta. On CodeSearchNet. | |
| ### | |
| Quick start: | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("addy88/programming-lang-identifier") | |
| model = AutoModelForSequenceClassification.from_pretrained("addy88/programming-lang-identifier") | |
| input_ids = tokenizer.encode(CODE_TO_IDENTIFY) | |
| logits = model(input_ids)[0] | |
| language_idx = logits.argmax() # index for the resulting label | |
| ### |