Instructions to use RLWRLD/RLDX-1-PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RLWRLD/RLDX-1-PT with Transformers:
# Load model directly from transformers import RLDX model = RLDX.from_pretrained("RLWRLD/RLDX-1-PT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4586cc093ff82a41a21222db53e811c1c5d7d715e977d49051edfb0d3235baf4
- Size of remote file:
- 4.45 GB
- SHA256:
- a51ca423831c94b07fd50f41201294bbe0d974d2dbc9fcd10d09af39bc940a50
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