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 tokenizer.json from tadiecool29/STL-amroberta-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 58.8 MB
-
https://huggingface.co/tadiecool29/STL-amroberta-sentiment/resolve/main/tokenizer.json
- Command line
-
hf download hf://tadiecool29/STL-amroberta-sentiment/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/tadiecool29/STL-amroberta-sentiment/resolve/main/tokenizer.json
58.8 MB
- Xet hash:
- 25e213847e0db28eefaf6c37f88d570c135b60a514f788384689f635dadd8763
- Size of remote file:
- 58.8 MB
- SHA256:
- 4fd62cc2fb494a757c799e767584469fdea77ae08160bf685a729694f076d0ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.