Instructions to use EthioNLP/amharic_mt5_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EthioNLP/amharic_mt5_small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EthioNLP/amharic_mt5_small") model = AutoModelForSeq2SeqLM.from_pretrained("EthioNLP/amharic_mt5_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from EthioNLP/amharic_mt5_small: direct link, hf CLI and curl.
- Browser
- Download file 320 MB
-
https://huggingface.co/EthioNLP/amharic_mt5_small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://EthioNLP/amharic_mt5_small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/EthioNLP/amharic_mt5_small/resolve/main/flax_model.msgpack
320 MB
- Xet hash:
- 3555301791a4d379e09f983d340e91110652b3ca07fe16a44a5e2987952ce45c
- Size of remote file:
- 320 MB
- SHA256:
- 7c7b5903187605873a704c6e43c56e4647a48390acd237a8c09a418d6455e821
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