Summarization
Transformers
PyTorch
Safetensors
bart
text2text-generation
Generated from Trainer
hindi
seq2seq
Instructions to use Someman/bart-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Someman/bart-hindi 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="Someman/bart-hindi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Someman/bart-hindi") model = AutoModelForSeq2SeqLM.from_pretrained("Someman/bart-hindi") - Notebooks
- Google Colab
- Kaggle
Commit ·
791903e
1
Parent(s): c7c1a4f
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (029c15f273a92a5bafff5f72e033e97c85156f0a)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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- seq2seq
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datasets:
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- Someman/hindi-summarization
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model-index:
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- name: bart-hindi
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results: []
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- seq2seq
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datasets:
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- Someman/hindi-summarization
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base_model: facebook/bart-base
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model-index:
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- name: bart-hindi
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results: []
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