Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use mikeadimech/punctuation-test-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikeadimech/punctuation-test-4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mikeadimech/punctuation-test-4") model = AutoModelForSeq2SeqLM.from_pretrained("mikeadimech/punctuation-test-4") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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@@ -6,20 +6,21 @@ datasets:
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- wmt16
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metrics:
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- bleu
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model-index:
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- name: punctuation-test-4
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: wmt16
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type: wmt16
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args: ro-en
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metrics:
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type: bleu
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value: 39.1294
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- wmt16
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metrics:
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- bleu
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base_model: facebook/bart-base
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model-index:
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- name: punctuation-test-4
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results:
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- task:
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type: text2text-generation
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name: Sequence-to-sequence Language Modeling
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dataset:
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name: wmt16
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type: wmt16
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args: ro-en
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metrics:
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- type: bleu
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value: 39.1294
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name: Bleu
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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