Instructions to use mahwizzzz/LlamaClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahwizzzz/LlamaClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahwizzzz/LlamaClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahwizzzz/LlamaClassification") model = AutoModelForSequenceClassification.from_pretrained("mahwizzzz/LlamaClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36811637823d91316174b0eec54dafd79bb2c425d3f5a9cdb6fbde720b648264
- Size of remote file:
- 2.09 MB
- SHA256:
- 7c497371b0bd18ae62f29b2d07a3a25f68ad9c04b47f01f8fe416d97ed6e16f6
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