Instructions to use emelnov/vl-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emelnov/vl-test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emelnov/vl-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from emelnov/vl-test: direct link, hf CLI and curl.
- Browser
- Download file 9.98 GB
-
https://huggingface.co/emelnov/vl-test/resolve/main/tokenizer.model
- Command line
-
hf download hf://emelnov/vl-test/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/emelnov/vl-test/resolve/main/tokenizer.model
9.98 GB
- Xet hash:
- 3640f48c1597e51492feb94a68be6362835b15c74c5d1e713922fcbf4d6e3aa5
- Size of remote file:
- 9.98 GB
- SHA256:
- 5ed572be140240b212049a3e791271eed8a04c40bc732c91a4da4b1469db23b1
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