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:
- 42cddbab191dbc9b1dc2ffa618a01e3117b99f4e34ffdbbbc083ba02b7f1353d
- Size of remote file:
- 1.2 GB
- SHA256:
- 5c4c1a0f8454d15bc328ad389ff913cbca0ee53e35d3a84acbf0a4373ff035f0
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