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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a28ce739bc0d81486739adaa6ee78156388ee95f98c271aceb1a8b2a749d2cb
- Size of remote file:
- 5.18 kB
- SHA256:
- fa9e09530901451cc16d3b0e915bda0cb299051e3ec2f90b5973daca77c43dfa
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