Instructions to use Vignesh-M/mt5-tamil-summarisation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vignesh-M/mt5-tamil-summarisation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Vignesh-M/mt5-tamil-summarisation") model = AutoModelForSeq2SeqLM.from_pretrained("Vignesh-M/mt5-tamil-summarisation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:da2981992395bc0d26c062057a3e470d6e3ce3ad42b3b89084fb521ee7a43975
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size 2329638808
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