Instructions to use ydl233/t5_small_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydl233/t5_small_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ydl233/t5_small_model") model = AutoModelForSeq2SeqLM.from_pretrained("ydl233/t5_small_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ydl233/t5_small_model: direct link, hf CLI and curl.
- Browser
- Download file 220 MB
-
https://huggingface.co/ydl233/t5_small_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ydl233/t5_small_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ydl233/t5_small_model/resolve/main/pytorch_model.bin
220 MB
- Xet hash:
- 112173cd0bb5b76265bb175f422b13149e88c7bb908812a73a2633bdf57596f4
- Size of remote file:
- 220 MB
- SHA256:
- 18b97d7018e38cb2a7a9667acc422413c15388e00ec3395eb6d140c6caa4cd87
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