Instructions to use Hahmdong/webrl-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hahmdong/webrl-gemma with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hahmdong/webrl-gemma", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 008c9b9e198a931d9a74918bf83084f4e07aa217725440fab0a5ee7cb857f48d
- Size of remote file:
- 33.4 MB
- SHA256:
- ee06f53dcc483d8da3793a84ab3137de857b52f9226315d2aa3172a0c5769975
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