Instructions to use stanleychu2/system_400M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stanleychu2/system_400M with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stanleychu2/system_400M") model = AutoModelForSeq2SeqLM.from_pretrained("stanleychu2/system_400M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from stanleychu2/system_400M: direct link, hf CLI and curl.
- Browser
- Download file 1.46 GB
-
https://huggingface.co/stanleychu2/system_400M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://stanleychu2/system_400M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stanleychu2/system_400M/resolve/main/pytorch_model.bin
1.46 GB
- Xet hash:
- af899164d6be90fb7a3b7433d38a885c21650238ea360412039984a7ac94a354
- Size of remote file:
- 1.46 GB
- SHA256:
- e56b0dde827e891653748fb1472ef146aa7d93ccac0f8501e5e4d12e06e4b443
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