Instructions to use tadiecool29/STL-afroxlmr-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadiecool29/STL-afroxlmr-base-sentiment with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tadiecool29/STL-afroxlmr-base-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tadiecool29/STL-afroxlmr-base-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/tadiecool29/STL-afroxlmr-base-sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://tadiecool29/STL-afroxlmr-base-sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tadiecool29/STL-afroxlmr-base-sentiment/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- c78637b7d83370bd8c70f4c310ef60aa3e986481499df6894ac26c0534450273
- Size of remote file:
- 5.27 kB
- SHA256:
- a0c713ad90951c2047a5368b8f6b4667f47cd5111399fbc6e522920e58177310
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