Instructions to use GroNLP/T0pp-sharded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/T0pp-sharded with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GroNLP/T0pp-sharded") model = AutoModelForSeq2SeqLM.from_pretrained("GroNLP/T0pp-sharded", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model-00014-of-00050.bin from GroNLP/T0pp-sharded: direct link, hf CLI and curl.
- Browser
- Download file 940 MB
-
https://huggingface.co/GroNLP/T0pp-sharded/resolve/main/pytorch_model-00014-of-00050.bin
- Command line
-
hf download hf://GroNLP/T0pp-sharded/pytorch_model-00014-of-00050.bin
-
curl -L -o pytorch_model-00014-of-00050.bin https://huggingface.co/GroNLP/T0pp-sharded/resolve/main/pytorch_model-00014-of-00050.bin
940 MB
- Xet hash:
- 5f6eb99d8b64ca2ba5f3c1737f96fdbd8152311f3832e786fc7964c3ed4062b6
- Size of remote file:
- 940 MB
- SHA256:
- b06961522ec57555e75da7c628f738770f86c10694ef00192169cd51d661c1cc
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