Transformers
Safetensors
mt5
text2text-generation
full-finetuning
amharic
sentiment-classification
single-task
Generated from Trainer
Instructions to use tadiecool29/STL-FullFT-afri-mt5-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadiecool29/STL-FullFT-afri-mt5-base-sentiment with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tadiecool29/STL-FullFT-afri-mt5-base-sentiment") model = AutoModelForSeq2SeqLM.from_pretrained("tadiecool29/STL-FullFT-afri-mt5-base-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 838b15f4cb9bc32ed78a016d62cdf74b4ef6b1f79430926ef92897b325bf15d2
- Size of remote file:
- 16 MB
- SHA256:
- 0f863ac4ba16e5c05a534f69aeccb624f9177f940cac50650f42b8f67515aeae
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