Instructions to use flax-community/bengali-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/bengali-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/bengali-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/bengali-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from flax-community/bengali-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/flax-community/bengali-t5-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://flax-community/bengali-t5-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/flax-community/bengali-t5-base/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 24e95bc20796d150a13c083753cce4a5f20c25b24a16cd0a80c734e4cc07927f
- Size of remote file:
- 990 MB
- SHA256:
- c763e2d0c26f848d2ff9f67b74b85a92d3ee71285f87ad39b0360ffa144f63f1
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