Instructions to use north/t5_xl_NCC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/t5_xl_NCC with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/t5_xl_NCC") model = AutoModelForSeq2SeqLM.from_pretrained("north/t5_xl_NCC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/t5_xl_NCC: direct link, hf CLI and curl.
- Browser
- Download file 15 GB
-
https://huggingface.co/north/t5_xl_NCC/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/t5_xl_NCC/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/t5_xl_NCC/resolve/main/flax_model.msgpack
15 GB
- Xet hash:
- 2a1ffca0c9932f30f903d8979c7a8270bb9ccd86bdfd5ac569d17641b903e33d
- Size of remote file:
- 15 GB
- SHA256:
- 429ff72f16d7ab8b36957814093c4adcd1ac8ca3c33a200cc764520af56f3b42
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