Instructions to use ktcapraz/actor_alignments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ktcapraz/actor_alignments with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ktcapraz/actor_alignments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download last-checkpoint/optimizer.pt from ktcapraz/actor_alignments: direct link, hf CLI and curl.
- Browser
- Download file 22.8 MB
-
https://huggingface.co/ktcapraz/actor_alignments/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://ktcapraz/actor_alignments/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ktcapraz/actor_alignments/resolve/main/last-checkpoint/optimizer.pt
22.8 MB
- Xet hash:
- 684092fb4bf5716f25d3e53840da7bf32a3458c2412e1cc1787fe4bf5db2ded7
- Size of remote file:
- 22.8 MB
- SHA256:
- 34d1617df6520a5eb5d62e3332b9b93cd6d5ec54588750f740f2ab514eead854
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