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:
- 8664b8e72d770379daa9239f3866529d608a02758210dd258de7a826db2956fe
- Size of remote file:
- 1.2 GB
- SHA256:
- 19f0c5f202db9bebb57b9ff64ddc1f4b9d0cf9b7dd7f072dfaeb4d81fc6b3555
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