Instructions to use fqb/granite4_micro_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fqb/granite4_micro_lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fqb/granite4_micro_lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: fqb
- License: apache-2.0
- Finetuned from model : unsloth/granite-4.0-h-micro-unsloth-bnb-4bit
This granitemoehybrid model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for fqb/granite4_micro_lora_model
Base model
ibm-granite/granite-4.0-h-micro