Instructions to use prashanthbsp/reasoning-cpg-entity-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prashanthbsp/reasoning-cpg-entity-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prashanthbsp/reasoning-cpg-entity-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from prashanthbsp/reasoning-cpg-entity-v1: direct link, hf CLI and curl.
- Browser
- Download file 631 Bytes
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https://huggingface.co/prashanthbsp/reasoning-cpg-entity-v1/resolve/6f045c2a3f392bf0f8311ee887a56b22026008c6/README.md
- Command line
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hf download hf://prashanthbsp/reasoning-cpg-entity-v1@6f045c2a3f392bf0f8311ee887a56b22026008c6/README.md
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curl -L -o README.md https://huggingface.co/prashanthbsp/reasoning-cpg-entity-v1/resolve/6f045c2a3f392bf0f8311ee887a56b22026008c6/README.md
631 Bytes
metadata
base_model: unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: prashanthbsp
- License: apache-2.0
- Finetuned from model : unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
