Instructions to use Davlan/afrobyt5-small-76L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/afrobyt5-small-76L with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/afrobyt5-small-76L") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/afrobyt5-small-76L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Davlan/afrobyt5-small-76L: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Davlan/afrobyt5-small-76L/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Davlan/afrobyt5-small-76L/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Davlan/afrobyt5-small-76L/resolve/main/flax_model.msgpack
1.2 GB
- Xet hash:
- a7a684cc6ac5feac52450da61d264bcf05956b870ca4402700d3add2bf3cc140
- Size of remote file:
- 1.2 GB
- SHA256:
- 96cfb2af1a774e68ade4486c37e7fda28d9ed5ba5f4af36337beb34b73799dc6
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