Instructions to use EthioNLP/ethionlp_mt5_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/ethionlp_mt5_small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/ethionlp_mt5_small") model = AutoModelForSeq2SeqLM.from_pretrained("EthioNLP/ethionlp_mt5_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from EthioNLP/ethionlp_mt5_small: direct link, hf CLI and curl.
- Browser
- Download file 341 MB
-
https://huggingface.co/EthioNLP/ethionlp_mt5_small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://EthioNLP/ethionlp_mt5_small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/EthioNLP/ethionlp_mt5_small/resolve/main/flax_model.msgpack
341 MB
- Xet hash:
- 9c1a32eb1ed8bda611d5c8ee7e8af1cd6da6b20daecf38710a2d1bc90c1d98d1
- Size of remote file:
- 341 MB
- SHA256:
- fb00c374ad567cfbb78ef6277cfdbf10b5f3a37bcb0d1a382912804866ffc56e
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