Instructions to use shivrajanand/temporaryupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivrajanand/temporaryupload with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivrajanand/temporaryupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download final_model/tokenizer.json from shivrajanand/temporaryupload: direct link, hf CLI and curl.
- Browser
- Download file 7.15 MB
-
https://huggingface.co/shivrajanand/temporaryupload/resolve/main/final_model/tokenizer.json
- Command line
-
hf download hf://shivrajanand/temporaryupload/final_model/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shivrajanand/temporaryupload/resolve/main/final_model/tokenizer.json
7.15 MB
File too large to display, you can check the raw version instead.