Summarization
Transformers
PyTorch
Safetensors
Nepali
mt5
text2text-generation
Generated from Trainer
nepali
Instructions to use GenzNepal/mt5-summarize-nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GenzNepal/mt5-summarize-nepali 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="GenzNepal/mt5-summarize-nepali")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GenzNepal/mt5-summarize-nepali") model = AutoModelForSeq2SeqLM.from_pretrained("GenzNepal/mt5-summarize-nepali") - Notebooks
- Google Colab
- Kaggle
Commit ·
2f6e516
1
Parent(s): 6037b2a
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (20c309df4b80a95073b6c2b70644482d82f21713)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb2a8210fade655f5dee5bef554d0d9126f39de94f7ba16440783bba894dc602
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size 1200729512
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