Instructions to use TuringGame/Llama-3.2-1B-Instruct-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TuringGame/Llama-3.2-1B-Instruct-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TuringGame/Llama-3.2-1B-Instruct-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TuringGame/Llama-3.2-1B-Instruct-classifier") model = AutoModelForSequenceClassification.from_pretrained("TuringGame/Llama-3.2-1B-Instruct-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f301ace7d361d4ab15d301ffc0eae39482351d1a8315f8b9fa3933642174e1ee
- Size of remote file:
- 4.94 GB
- SHA256:
- f6c03d95f6b6bfcf5a1f9912345d912e8d9778f19c5887015f30ae9a5919fe2c
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