Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Wazzzabeee/PoliteT5Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wazzzabeee/PoliteT5Base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Wazzzabeee/PoliteT5Base") model = AutoModelForSeq2SeqLM.from_pretrained("Wazzzabeee/PoliteT5Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Wazzzabeee/PoliteT5Base: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/Wazzzabeee/PoliteT5Base/resolve/main/training_args.bin
- Command line
-
hf download hf://Wazzzabeee/PoliteT5Base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Wazzzabeee/PoliteT5Base/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 443ae846e8d17e77da36a67b34b7e8cb23bc4127c87924fb5e34ab0af560af2e
- Size of remote file:
- 3.71 kB
- SHA256:
- eb3ab6397ef4cec0e40ae7ac2c3601b33e365f9d31b21ceb80b6f878f584fe94
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