Instructions to use tadiecool29/afroxlmr-stl-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadiecool29/afroxlmr-stl-base-sentiment with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tadiecool29/afroxlmr-stl-base-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tadiecool29/afroxlmr-stl-base-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/tadiecool29/afroxlmr-stl-base-sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://tadiecool29/afroxlmr-stl-base-sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tadiecool29/afroxlmr-stl-base-sentiment/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 7b5261cbdd880cb5fc25a4cfa8f694a0185dc8a4520ab1f0b91deee8a565a0f1
- Size of remote file:
- 5.27 kB
- SHA256:
- e9abd1da5a26c6c199a8c954b62af1df4f808c3592567c4665d7422dfb0fdc94
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