Instructions to use tanmayakaranth/matcha-chartqa-lora-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tanmayakaranth/matcha-chartqa-lora-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/matcha-base") model = PeftModel.from_pretrained(base_model, "tanmayakaranth/matcha-chartqa-lora-adapter") - Transformers
How to use tanmayakaranth/matcha-chartqa-lora-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tanmayakaranth/matcha-chartqa-lora-adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c07d4f1d4e8716f0b9ffc3746818a1f3c0c154e4a10c402d2d68adfad0f831b
- Size of remote file:
- 5.33 kB
- SHA256:
- 16de93ed0091a08a1fc3b06d9a579a25aeb5a0a0ec65f69a9a66239eab80245e
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