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
- Xet hash:
- f377157c87818c1f7734611255d805fe6781d59d79c5b1c868e486b8f261da0f
- Size of remote file:
- 334 MB
- SHA256:
- b3b7b5b94ef3e1eb7c219ae99129287ab1c3bf42a984154b48363000c6b4330c
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