Instructions to use gaussalgo/T5-LM-Large_Canard-HotpotQA-rephrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gaussalgo/T5-LM-Large_Canard-HotpotQA-rephrase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gaussalgo/T5-LM-Large_Canard-HotpotQA-rephrase") model = AutoModelForSeq2SeqLM.from_pretrained("gaussalgo/T5-LM-Large_Canard-HotpotQA-rephrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42bae848077a4357017c37dfe01f01fd6386a4a45dee2d7a030f5f9b68af2992
- Size of remote file:
- 3.13 GB
- SHA256:
- 1b3ac28d60880fb23e0a09b636f0645888037c48938e283349a75f1cb538b02c
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