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 lora_adapter.gguf from ktcapraz/actor_alignments: direct link, hf CLI and curl.
- Browser
- Download file 44.4 MB
-
https://huggingface.co/ktcapraz/actor_alignments/resolve/main/lora_adapter.gguf
- Command line
-
hf download hf://ktcapraz/actor_alignments/lora_adapter.gguf
-
curl -L -o lora_adapter.gguf https://huggingface.co/ktcapraz/actor_alignments/resolve/main/lora_adapter.gguf
44.4 MB
- Xet hash:
- e1d16b6ec668cea22d2272e032257b23e1a5b639d8be3f719952f68ebf507d04
- Size of remote file:
- 44.4 MB
- SHA256:
- 3bffd4c53dae89caa999f335d8848aeef455fab321aec9037cdfb97824e2daef
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