Instructions to use ZibinDong/ActionCodec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZibinDong/ActionCodec2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZibinDong/ActionCodec2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 278 Bytes
1bfc3f0 | 1 2 3 4 5 6 7 | """Shared release loader bindings."""
from functools import partial
from ..loading import load_release_router as _load, describe_release as _describe
load_release_router = partial(_load, tokenizer='actioncodec2')
describe_release = partial(_describe, tokenizer='actioncodec2')
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