Instructions to use tadiecool29/STL-amroberta-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadiecool29/STL-amroberta-sentiment with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tadiecool29/STL-amroberta-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from tadiecool29/STL-amroberta-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 1.77 GB
-
https://huggingface.co/tadiecool29/STL-amroberta-sentiment/resolve/main/model.safetensors
- Command line
-
hf download hf://tadiecool29/STL-amroberta-sentiment/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/tadiecool29/STL-amroberta-sentiment/resolve/main/model.safetensors
1.77 GB
- Xet hash:
- 501bac01bb9cf3dc5a602032f3b5789b3ccdf88566eb09aeebc58b205965f7ce
- Size of remote file:
- 1.77 GB
- SHA256:
- 3175d711d62529d8a65953dd7fddaaab1935deee86a968615573b5deada1f29c
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