Instructions to use NeuML/granite-4.0-350m-litert-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use NeuML/granite-4.0-350m-litert-lm with LiteRT-LM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Model Card for Granite-4.0-350M LiteRT-LM
Granite-4.0-350M LiteRT-LM model.
This can be run in txtai using the following code.
from txtai import LLM
llm = LLM("neuml/granite-4.0-350m-litert-lm/granite-4.0-350m.litertlm")
llm("Run a prompt here")
Created using the following code.
# pip install litert-torch
from litert_torch.generative.export_hf.export import export
export(
model="ibm-granite/granite-4.0-350m",
output_dir="output",
externalize_embedder=True,
)
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