Instructions to use azkamannan2004/MindEase-CD-Part21-24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azkamannan2004/MindEase-CD-Part21-24 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("azkamannan2004/MindEase-CD-Part21-24") model = AutoModelForSeq2SeqLM.from_pretrained("azkamannan2004/MindEase-CD-Part21-24", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from azkamannan2004/MindEase-CD-Part21-24: direct link, hf CLI and curl.
- Browser
- Download file 1.46 GB
-
https://huggingface.co/azkamannan2004/MindEase-CD-Part21-24/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://azkamannan2004/MindEase-CD-Part21-24/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/azkamannan2004/MindEase-CD-Part21-24/resolve/main/pytorch_model.bin
1.46 GB
- Xet hash:
- 16096a4158ec8663ae2fdc49be4a87b0ff4d29b5c6d59202d79712d2252d22b2
- Size of remote file:
- 1.46 GB
- SHA256:
- 54cfad1c329e86f093beaca0050389002e9f696a48da057a8d4f01005eacf408
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