Instructions to use mbole/tiny-t5-en-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbole/tiny-t5-en-pl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mbole/tiny-t5-en-pl") model = AutoModelForSeq2SeqLM.from_pretrained("mbole/tiny-t5-en-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
README.md
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu
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| No log | 0.7692 | 10 | 1.
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### Framework versions
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu |
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| No log | 0.7692 | 10 | 1.6194 | 0.0 |
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### Framework versions
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