Instructions to use osmanh/en-lt-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osmanh/en-lt-t5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("osmanh/en-lt-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("osmanh/en-lt-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from osmanh/en-lt-t5-small: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/osmanh/en-lt-t5-small/resolve/main/training_args.bin
- Command line
-
hf download hf://osmanh/en-lt-t5-small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/osmanh/en-lt-t5-small/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 078f68b562d9251aa8c57c8c9cdaf23bad33c84b3fcbf5247a635a6f215ff00f
- Size of remote file:
- 5.37 kB
- SHA256:
- 39a39253650f3d4d7a53502b6905981964281f89530a332c1b23dc0d8576fbd5
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