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 tokenizer.json from tadiecool29/afroxlmr-stl-base-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/tadiecool29/afroxlmr-stl-base-sentiment/resolve/main/tokenizer.json
- Command line
-
hf download hf://tadiecool29/afroxlmr-stl-base-sentiment/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tadiecool29/afroxlmr-stl-base-sentiment/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- fd0f2593d04f14d233dd5fe260692893242dc61733f57071b27d1caeff349ea9
- Size of remote file:
- 17.1 MB
- SHA256:
- d0091a328b3441d754e481db5a390d7f3b8dabc6016869fd13ba350d23ddc4cd
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