Instructions to use saliq7/hindi_mt5_finaltry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saliq7/hindi_mt5_finaltry with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("saliq7/hindi_mt5_finaltry") model = AutoModelForMultimodalLM.from_pretrained("saliq7/hindi_mt5_finaltry") - 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 sha256:0bb6a5d9a5564b54b0c909ef3fe89c751a3316e9bd59079890987b730c02664d
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size 1200729608
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