Instructions to use tech4humans/InternVL2_5-1B-MPO-swift-r4-rslora-bf16-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tech4humans/InternVL2_5-1B-MPO-swift-r4-rslora-bf16-tuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tech4humans/InternVL2_5-1B-MPO-swift-r4-rslora-bf16-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5aa493abd664efede3bff308a7f7713d9d6ef5495357e300353a29aeb7c01345
- Size of remote file:
- 15.2 MB
- SHA256:
- 44356d9569bbc85560048aaee5dd8c6564ffa8ac33badc3fffa1d28826bab2ba
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