Instructions to use mrinaldi/AAA_half_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrinaldi/AAA_half_trained with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrinaldi/AAA_half_trained", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint.ckpt from mrinaldi/AAA_half_trained: direct link, hf CLI and curl.
- Browser
- Download file 4 GB
-
https://huggingface.co/mrinaldi/AAA_half_trained/resolve/0c40f3f4af42a7d20f401300f43ef4d8a3210046/checkpoint.ckpt
- Command line
-
hf download hf://mrinaldi/AAA_half_trained@0c40f3f4af42a7d20f401300f43ef4d8a3210046/checkpoint.ckpt
-
curl -L -o checkpoint.ckpt https://huggingface.co/mrinaldi/AAA_half_trained/resolve/0c40f3f4af42a7d20f401300f43ef4d8a3210046/checkpoint.ckpt
4 GB
- Xet hash:
- e77bfaf94d2876788e807b0d77a52d06dbe197a57f5b93b2468d072c7463d37b
- Size of remote file:
- 4 GB
- SHA256:
- b9c4e0649631be6dd95dc796e1f9cff84531abad47c39463e991566c422fb58d
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