Instructions to use apoman/t5-nlu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apoman/t5-nlu with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("apoman/t5-nlu") model = AutoModelForSeq2SeqLM.from_pretrained("apoman/t5-nlu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from apoman/t5-nlu: direct link, hf CLI and curl.
- Browser
- Download file 839 kB
-
https://huggingface.co/apoman/t5-nlu/resolve/main/optimizer.pt
- Command line
-
hf download hf://apoman/t5-nlu/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/apoman/t5-nlu/resolve/main/optimizer.pt
839 kB
- Xet hash:
- c2b7867a4425ec6fb3a79c600c5ac4d714756ac9caa9ca8c6d33f9c868042f60
- Size of remote file:
- 839 kB
- SHA256:
- 4f82b6258d130d380dbae237a82f9bc1aa9f0005d468aa8ec92211dbdd90cfad
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