Instructions to use Waynehillsdev/Wayne_NLP_T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Waynehillsdev/Wayne_NLP_T5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Waynehillsdev/Wayne_NLP_T5") model = AutoModelForSeq2SeqLM.from_pretrained("Waynehillsdev/Wayne_NLP_T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Waynehillsdev/Wayne_NLP_T5: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/Waynehillsdev/Wayne_NLP_T5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Waynehillsdev/Wayne_NLP_T5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Waynehillsdev/Wayne_NLP_T5/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- c79332d527e983e90ad9b94c752ba6199626c72b0b44780f6d8c7632f21cefb9
- Size of remote file:
- 892 MB
- SHA256:
- 5a685fb5815f2ae5d6ef9aebd9a97c032ea57a709042dbce0dbd1500c6aef91c
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