Instructions to use asm3515/llama3-agnews-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asm3515/llama3-agnews-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asm3515/llama3-agnews-full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asm3515/llama3-agnews-full") model = AutoModelForSequenceClassification.from_pretrained("asm3515/llama3-agnews-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69f7e5fa28680fedfd8309c71304201c1522c0f0b68bbc00931e9dd80f7147de
- Size of remote file:
- 4.94 GB
- SHA256:
- 50d236ff5693ea2a0eb5e0719159308ea524a853846606cb1b5ff7053cef43c3
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