Summarization
Transformers
TensorFlow
English
bart
text2text-generation
generated_from_keras_callback
Instructions to use KostiuchenkoArtem/bart_large_multi_modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KostiuchenkoArtem/bart_large_multi_modified with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="KostiuchenkoArtem/bart_large_multi_modified")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KostiuchenkoArtem/bart_large_multi_modified") model = AutoModelForSeq2SeqLM.from_pretrained("KostiuchenkoArtem/bart_large_multi_modified") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 642cfe2
Training in progress epoch 1
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss: 2.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 2.2231 | 2.1476 | 0 |
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### Framework versions
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 1.8945
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- Validation Loss: 2.1423
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- Epoch: 1
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 2.2231 | 2.1476 | 0 |
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| 1.8945 | 2.1423 | 1 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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