Instructions to use QyQy/VietAI-Assignment1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QyQy/VietAI-Assignment1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("QyQy/VietAI-Assignment1") model = AutoModelForSeq2SeqLM.from_pretrained("QyQy/VietAI-Assignment1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from QyQy/VietAI-Assignment1: direct link, hf CLI and curl.
- Browser
- Download file 1.25 GB
-
https://huggingface.co/QyQy/VietAI-Assignment1/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://QyQy/VietAI-Assignment1@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/QyQy/VietAI-Assignment1/resolve/refs%2Fpr%2F1/optimizer.pt
1.25 GB
- Xet hash:
- dd07e0fc02c7aae99587f0c45bfa59fc441b008b8a9c882e8bd6c4bd6b6adac9
- Size of remote file:
- 1.25 GB
- SHA256:
- f22c3a9d856963c20be68c4a9ed58130b602e7500b3eb58992ff432eecfe982b
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