Instructions to use xhyi/distilLED3_08_31_2021_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xhyi/distilLED3_08_31_2021_v5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("xhyi/distilLED3_08_31_2021_v5") model = AutoModelForSeq2SeqLM.from_pretrained("xhyi/distilLED3_08_31_2021_v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from xhyi/distilLED3_08_31_2021_v5: direct link, hf CLI and curl.
- Browser
- Download file 1.44 GB
-
https://huggingface.co/xhyi/distilLED3_08_31_2021_v5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://xhyi/distilLED3_08_31_2021_v5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/xhyi/distilLED3_08_31_2021_v5/resolve/main/pytorch_model.bin
1.44 GB
- Xet hash:
- 89c9e6394c2284dca2a1a84218c7e8716360b0d402ddd3bef0d76bcd19a13b30
- Size of remote file:
- 1.44 GB
- SHA256:
- df8b42f452ad5e51096354a371e52f760bd71a25cf5a1d09708f20a9134ac960
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