Instructions to use GuysTrans/bart-base-re-attention-mini-seq-512-bosch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GuysTrans/bart-base-re-attention-mini-seq-512-bosch with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GuysTrans/bart-base-re-attention-mini-seq-512-bosch") model = AutoModelForSeq2SeqLM.from_pretrained("GuysTrans/bart-base-re-attention-mini-seq-512-bosch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +3 -3
- pytorch_model.bin +1 -1
README.md
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1
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| No log | 1.0 | 125 | 3.
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### Framework versions
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 |
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| No log | 1.0 | 125 | 3.0921 | 16.37 | 6.5882 | 12.633 | 15.5269 | 20.0 | 0.6454 | 0.4359 | 0.3377 | 0.2809 |
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### Framework versions
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pytorch_model.bin
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