Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use natope/experiment-summarisation-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natope/experiment-summarisation-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("natope/experiment-summarisation-2") model = AutoModelForSeq2SeqLM.from_pretrained("natope/experiment-summarisation-2") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.28.0"
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}
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pytorch_model.bin
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oid sha256:aaecd9e129bf6e2d81ab890fc30a7329c1718bf98e0fc04d8a9dd44a3db9da9a
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size 1200772485
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runs/May19_14-21-15_9b371da60e9a/events.out.tfevents.1684506079.9b371da60e9a.8511.0
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oid sha256:5049222e58b4bfe989e18df35c1ef34f7eac0894989ca7722833957af15cf516
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size 6883
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