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:
# 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
- Xet hash:
- 0d29d8c0f8c2b95acf71ef052aa93f009c52ae60d5296ad5a73ec6016ee64cbe
- Size of remote file:
- 1.2 GB
- SHA256:
- 886bffd9296aa65f089b826457fa76f496c84df84617685096ddf93187c41c8b
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