Instructions to use Shubhamai/tiny-mbart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubhamai/tiny-mbart with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shubhamai/tiny-mbart") model = AutoModelForSeq2SeqLM.from_pretrained("Shubhamai/tiny-mbart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Shubhamai/tiny-mbart: direct link, hf CLI and curl.
- Browser
- Download file 1.51 MB
-
https://huggingface.co/Shubhamai/tiny-mbart/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Shubhamai/tiny-mbart/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Shubhamai/tiny-mbart/resolve/main/flax_model.msgpack
1.51 MB
- Xet hash:
- 1e7aee21d1bdb047401d5dc1ff96190d620189148c20de72d11c3b2a5d5717b0
- Size of remote file:
- 1.51 MB
- SHA256:
- 1a5031e0000aac8abffa7c835b5f2c365efeb9afa555014146fa6c43e95676ca
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