Instructions to use tharindu/mt5_0.15SOLID_CCTK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharindu/mt5_0.15SOLID_CCTK with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tharindu/mt5_0.15SOLID_CCTK") model = AutoModelForSeq2SeqLM.from_pretrained("tharindu/mt5_0.15SOLID_CCTK", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tharindu/mt5_0.15SOLID_CCTK: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/tharindu/mt5_0.15SOLID_CCTK/resolve/main/training_args.bin
- Command line
-
hf download hf://tharindu/mt5_0.15SOLID_CCTK/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tharindu/mt5_0.15SOLID_CCTK/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 12382437822dc336588dae2a0cf45a8ed8e5c4f57615339349fad868862e30b3
- Size of remote file:
- 3.25 kB
- SHA256:
- 87e55a2e3f365ccd8d8f406f3ab51d5c5130acae70bc424f61d3122fb981d0ec
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