Instructions to use Linhz/AlphaEdu_BartPho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linhz/AlphaEdu_BartPho with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Linhz/AlphaEdu_BartPho") model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/AlphaEdu_BartPho", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Linhz/AlphaEdu_BartPho: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/Linhz/AlphaEdu_BartPho/resolve/main/optimizer.pt
- Command line
-
hf download hf://Linhz/AlphaEdu_BartPho/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Linhz/AlphaEdu_BartPho/resolve/main/optimizer.pt
1.05 GB
- Xet hash:
- 6a4451eb10e4f107385aeaff397cd2fece85381e0491b5c3cd6efd7f472cea9d
- Size of remote file:
- 1.05 GB
- SHA256:
- 71ed7bf05e9a0391174a910e5b962d5b8fdad5b95e071fe6ed0c01d40d4ee7b6
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