Instructions to use google/matcha-plotqa-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/matcha-plotqa-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="google/matcha-plotqa-v2")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/matcha-plotqa-v2") model = AutoModelForMultimodalLM.from_pretrained("google/matcha-plotqa-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/matcha-plotqa-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.13 GB
-
https://huggingface.co/google/matcha-plotqa-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/matcha-plotqa-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/matcha-plotqa-v2/resolve/main/pytorch_model.bin
1.13 GB
- Xet hash:
- d0fd724e557c74f884e96fea5b218bb460f8d68db1fd56379b1f1467b8b935bd
- Size of remote file:
- 1.13 GB
- SHA256:
- 0d0f46deadc81d2850c80838bd3f310dbe7eef7c5745ebf0de29c5d51c9777db
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