Instructions to use csarron/meter-ve-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csarron/meter-ve-ft with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import MeterForVisualEntailment model = MeterForVisualEntailment.from_pretrained("csarron/meter-ve-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from csarron/meter-ve-ft: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/csarron/meter-ve-ft/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://csarron/meter-ve-ft/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/csarron/meter-ve-ft/resolve/main/pytorch_model.bin
1.29 GB
- Xet hash:
- 9b506b7b1947c45d6a5616c0367ecc49d5c444a9f821903a6bc39b1e327996ef
- Size of remote file:
- 1.29 GB
- SHA256:
- 8de41afe28298b7ec0f542518ac6e673ad78f1a37ce64846f1defc5f71799356
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