Instructions to use north/t5_large_NCC_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/t5_large_NCC_lm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/t5_large_NCC_lm") model = AutoModelForSeq2SeqLM.from_pretrained("north/t5_large_NCC_lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb83ce8e7d559718380750eaeeb6af5b098c7c97807b056ac811a0d7d8352f58
- Size of remote file:
- 4.92 GB
- SHA256:
- e70c53a5ee874318cdca3f191581e608f1a1f3ecd5fe93e534e5817383a2b84c
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