Instructions to use north/t5_small_NCC_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/t5_small_NCC_lm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/t5_small_NCC_lm") model = AutoModelForSeq2SeqLM.from_pretrained("north/t5_small_NCC_lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 967370a170dfb10749c468c376de1edd7efa0926dec3999843bb48f9525f62b5
- Size of remote file:
- 1.2 GB
- SHA256:
- 0144df9744576590b19549962c14c3416cf4be4099362f6f7169d86e69507bb6
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