Instructions to use devagonal/flan-t5-rouge-muhammad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/flan-t5-rouge-muhammad with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/flan-t5-rouge-muhammad") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/flan-t5-rouge-muhammad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc6386f4911c01866d9393d0cd48a72eb85c488c496af469be9b2bdd4b42afbf
- Size of remote file:
- 5.43 kB
- SHA256:
- 7d3ff9aa44013fe7be73fff97fa5f15c570c13c8afa64bef936ff3734bbb8450
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