Instructions to use north/t5_small_NCC_modern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/t5_small_NCC_modern with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/t5_small_NCC_modern") model = AutoModelForSeq2SeqLM.from_pretrained("north/t5_small_NCC_modern", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/t5_small_NCC_modern: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/north/t5_small_NCC_modern/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/t5_small_NCC_modern/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/t5_small_NCC_modern/resolve/main/flax_model.msgpack
1.2 GB
- Xet hash:
- 1363d444659157c7945e482bb1f74e04f7a2718f7ba729987b040d12038f1d8e
- Size of remote file:
- 1.2 GB
- SHA256:
- a738065eed7539588b6a212dfb79f028b8ae48428ecf38387e335922b50f6900
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