Instructions to use rahul7star/LFM2.5-VL-3B-rahul-tool-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rahul7star/LFM2.5-VL-3B-rahul-tool-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rahul7star/LFM2.5-VL-3B-rahul-tool-sft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from rahul7star/LFM2.5-VL-3B-rahul-tool-sft: direct link, hf CLI and curl.
- Browser
- Download file 617 Bytes
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https://huggingface.co/rahul7star/LFM2.5-VL-3B-rahul-tool-sft/resolve/main/README.md
- Command line
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hf download hf://rahul7star/LFM2.5-VL-3B-rahul-tool-sft/README.md
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curl -L -o README.md https://huggingface.co/rahul7star/LFM2.5-VL-3B-rahul-tool-sft/resolve/main/README.md
617 Bytes
metadata
base_model: LiquidAI/LFM2.5-VL-3B
tags:
- text-generation-inference
- transformers
- unsloth
- lfm2_vl
- trl
license: apache-2.0
language:
- en
datasets:
- rahul7star/lfm2-tool-sft
Training Script to Reproduce
Uploaded model
- Developed by: rahul7star
- License: apache-2.0
- Finetuned from model : LiquidAI/LFM2.5-VL-3B
This lfm2_vl model was trained 2x faster with Unsloth
