Instructions to use LyJinAoki/EEG-Captioner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LyJinAoki/EEG-Captioner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LyJinAoki/EEG-Captioner", device_map="auto") - PEFT
How to use LyJinAoki/EEG-Captioner with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download encoder.pt from LyJinAoki/EEG-Captioner: direct link, hf CLI and curl.
- Browser
- Download file 20.9 MB
-
https://huggingface.co/LyJinAoki/EEG-Captioner/resolve/main/encoder.pt
- Command line
-
hf download hf://LyJinAoki/EEG-Captioner/encoder.pt
-
curl -L -o encoder.pt https://huggingface.co/LyJinAoki/EEG-Captioner/resolve/main/encoder.pt
20.9 MB
- Xet hash:
- f31cc5468212898318cd28e23a4ef49d2affdd27ff7253d24e23489ac79c91a2
- Size of remote file:
- 20.9 MB
- SHA256:
- 060a5c0d9ac11543470038adbcbc5d9ba5828c1dc7c7d5097549435fbe28e989
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.