Instructions to use MaggiePai/longt5-alpaca-text_guided_unit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaggiePai/longt5-alpaca-text_guided_unit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MaggiePai/longt5-alpaca-text_guided_unit") model = AutoModelForSeq2SeqLM.from_pretrained("MaggiePai/longt5-alpaca-text_guided_unit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MaggiePai/longt5-alpaca-text_guided_unit: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/MaggiePai/longt5-alpaca-text_guided_unit/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MaggiePai/longt5-alpaca-text_guided_unit/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MaggiePai/longt5-alpaca-text_guided_unit/resolve/main/pytorch_model.bin
1.05 GB
- Xet hash:
- b3ce9555a3878cc9adc3388d86553ba37c0c4562db4a4dfa10ec0d6c3aab6cf7
- Size of remote file:
- 1.05 GB
- SHA256:
- 0bca1474d785e4db297b7f3c33efc0539483bc4236b9c16b9be25d18fb2e6daa
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