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")# pip install -U transformers accelerate # 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
Download training_args.bin from TuringGame/Llama-3.2-1B-Instruct-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/TuringGame/Llama-3.2-1B-Instruct-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://TuringGame/Llama-3.2-1B-Instruct-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TuringGame/Llama-3.2-1B-Instruct-classifier/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- af84e2448f9582f658107a5358331bf36752e47cd3767d79eb229ddb8e4d1727
- Size of remote file:
- 5.43 kB
- SHA256:
- 6a1dd89c53c1469851dbfd624a3239a89f6c9bbac403a3a7e82357af84e15ebf
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