Instructions to use scott156/LongT5BaseNSPCCV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scott156/LongT5BaseNSPCCV1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("scott156/LongT5BaseNSPCCV1") model = AutoModelForSeq2SeqLM.from_pretrained("scott156/LongT5BaseNSPCCV1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from scott156/LongT5BaseNSPCCV1: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/scott156/LongT5BaseNSPCCV1/resolve/main/training_args.bin
- Command line
-
hf download hf://scott156/LongT5BaseNSPCCV1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/scott156/LongT5BaseNSPCCV1/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 8177fb0bc0aca25beb82e4af357576829a29d1c969597ffc9343557744c22e90
- Size of remote file:
- 5.05 kB
- SHA256:
- f19762a878be32e5d3e2a7e3885503ec136efefb3c2bc5e3cec68a4ffc493a1f
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