Image-Text-to-Text
PEFT
Safetensors
English
lora
sft
trl
smolvlm2
vision-language-model
chartqa
conversational
Instructions to use tuggspeedman-ai/SmolVLM2-2.2B-chartqa-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuggspeedman-ai/SmolVLM2-2.2B-chartqa-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolVLM2-2.2B-Instruct") model = PeftModel.from_pretrained(base_model, "tuggspeedman-ai/SmolVLM2-2.2B-chartqa-lora") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
6cbab4b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:24f0049553976d27c05e2bdebd973d28b28634903852fa1d1a7df7be0bd828f9
size 5841
|