Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
trl
dpo
text-generation-inference
Instructions to use hanane/t5_xxl_true_nli_mixture_aligned_augmented2ksamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanane/t5_xxl_true_nli_mixture_aligned_augmented2ksamples with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hanane/t5_xxl_true_nli_mixture_aligned_augmented2ksamples") model = AutoModelForSeq2SeqLM.from_pretrained("hanane/t5_xxl_true_nli_mixture_aligned_augmented2ksamples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0db81ca6366481ca58890866549b822fec095b4a4403199c52b948493d759841
- Size of remote file:
- 7.93 kB
- SHA256:
- 6988046e3c3f16617a1b95aa957c38e96c16979f87c6af75976662bfaeee4837
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