Transformers
PyTorch
English
Romanian
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Lvxue/finetuned-mt5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lvxue/finetuned-mt5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Lvxue/finetuned-mt5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Lvxue/finetuned-mt5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Lvxue/finetuned-mt5-base: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/Lvxue/finetuned-mt5-base/resolve/main/training_args.bin
- Command line
-
hf download hf://Lvxue/finetuned-mt5-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Lvxue/finetuned-mt5-base/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 518cae7eccf1b1c7b3edc742370428734433998f319770730c2a367e9835d985
- Size of remote file:
- 3.44 kB
- SHA256:
- bb6fb7a5cb783da1100a3ac2b7ea299f6c4ca5ac8e98bb9119270426ea3b0c46
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