Transformers
TensorBoard
Safetensors
German
English
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use paulh27/iwslt_aligned_smallT5_cont0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulh27/iwslt_aligned_smallT5_cont0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("paulh27/iwslt_aligned_smallT5_cont0") model = AutoModelForSeq2SeqLM.from_pretrained("paulh27/iwslt_aligned_smallT5_cont0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a0f248046ec5ff5abd648cc81c68292fc9190eeb50273d5be41915e8383a7dd
- Size of remote file:
- 16.3 MB
- SHA256:
- a0910f648726ceada34086ae80066cd253863e183cbb52ae566659a2d37716f0
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