Instructions to use aieng-lab/Llama-3.2-1B_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/Llama-3.2-1B_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/Llama-3.2-1B_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/Llama-3.2-1B_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/Llama-3.2-1B_comment-type-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8dd7c100c94ae1b90643feafd0bb7ef518314cda65e92668e94bca1e7dee925
- Size of remote file:
- 2.47 GB
- SHA256:
- b186b27ba2d87cb15f9e00d97f986c85e3797e70580d41031a46d6202e016c3d
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