Instructions to use Sakib323/granite-3b-code-base-task-classfiction-from-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakib323/granite-3b-code-base-task-classfiction-from-text with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sakib323/granite-3b-code-base-task-classfiction-from-text", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Sakib323/granite-3b-code-base-task-classfiction-from-text: direct link, hf CLI and curl.
- Browser
- Download file 2.06 MB
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https://huggingface.co/Sakib323/granite-3b-code-base-task-classfiction-from-text/resolve/main/tokenizer.json
- Command line
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hf download hf://Sakib323/granite-3b-code-base-task-classfiction-from-text/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Sakib323/granite-3b-code-base-task-classfiction-from-text/resolve/main/tokenizer.json
2.06 MB
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