Instructions to use north/t5_small_NCC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/t5_small_NCC with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/t5_small_NCC") model = AutoModelForSeq2SeqLM.from_pretrained("north/t5_small_NCC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/t5_small_NCC: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/north/t5_small_NCC/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/t5_small_NCC/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/t5_small_NCC/resolve/main/flax_model.msgpack
1.2 GB
- Xet hash:
- e19bab526ab916f1dbabb7161bac9fca74ebe0be3ac32557a1b1af9c2e3cc525
- Size of remote file:
- 1.2 GB
- SHA256:
- 530626e8dfa10d0f212f954a78b44b9096313537e68dbe56e5a84a8735c514c4
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