Instructions to use QyQy/VietAI-ASM1-Translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QyQy/VietAI-ASM1-Translator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("QyQy/VietAI-ASM1-Translator") model = AutoModelForSeq2SeqLM.from_pretrained("QyQy/VietAI-ASM1-Translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from QyQy/VietAI-ASM1-Translator: direct link, hf CLI and curl.
- Browser
- Download file 1.25 GB
-
https://huggingface.co/QyQy/VietAI-ASM1-Translator/resolve/main/optimizer.pt
- Command line
-
hf download hf://QyQy/VietAI-ASM1-Translator/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/QyQy/VietAI-ASM1-Translator/resolve/main/optimizer.pt
1.25 GB
- Xet hash:
- ca5c923c455826e59dd34c77b58ec77e541373221c66184aa1310e2e768c0e76
- Size of remote file:
- 1.25 GB
- SHA256:
- 7d21a48f6c2a35c16f46fbf8a0a1a8747dee85e9b33f530e8bead44f327fff3b
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