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
Download training_args.bin from tadiecool29/STL-FullFT-afri-mt5-base-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/tadiecool29/STL-FullFT-afri-mt5-base-sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://tadiecool29/STL-FullFT-afri-mt5-base-sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tadiecool29/STL-FullFT-afri-mt5-base-sentiment/resolve/main/training_args.bin
5.39 kB
- Xet hash:
- cc007cdd9d7ad9d60da61d41e60f9bac57754731506a4dc8926bd2aa2ec44aa8
- Size of remote file:
- 5.39 kB
- SHA256:
- f4479e147dc482feefb5134d83e6b3611e1a57cdc077d61874ddcdad1d3b8c5f
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