Instructions to use janardhanb/granite_coder_text_to_cypher_2024v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use janardhanb/granite_coder_text_to_cypher_2024v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("janardhanb/granite_coder_text_to_cypher_2024v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: janardhanb
- License: apache-2.0
- Finetuned from model : ibm-granite/granite-3b-code-instruct-2k
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for janardhanb/granite_coder_text_to_cypher_2024v1
Base model
ibm-granite/granite-3b-code-base-2k Finetuned
ibm-granite/granite-3b-code-instruct-2k