Instructions to use patomp/thai-light-multimodal-distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patomp/thai-light-multimodal-distill with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="patomp/thai-light-multimodal-distill", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("patomp/thai-light-multimodal-distill", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from patomp/thai-light-multimodal-distill: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/patomp/thai-light-multimodal-distill/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://patomp/thai-light-multimodal-distill/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/patomp/thai-light-multimodal-distill/resolve/main/pytorch_model.bin
1.67 MB
- Xet hash:
- d6b7c43ecd0a7fc232121f48e2c9203eb9e73cd0fa769e81a74ed7f6963cb9ff
- Size of remote file:
- 1.67 MB
- SHA256:
- ba76acb7fec448de261d0b0af611fe61f1a7a2b49be1b2cecfd0828d90d8d628
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