Instructions to use Vineeshsuiii/SAT-RndD-QuestionsGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vineeshsuiii/SAT-RndD-QuestionsGen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vineeshsuiii/SAT-RndD-QuestionsGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from Vineeshsuiii/SAT-RndD-QuestionsGen: direct link, hf CLI and curl.
- Browser
- Download file 534 kB
-
https://huggingface.co/Vineeshsuiii/SAT-RndD-QuestionsGen/resolve/3bb08c4e27dfa0c4dbe36cc2ec3f25bc406a5cae/tokenizer.model
- Command line
-
hf download hf://Vineeshsuiii/SAT-RndD-QuestionsGen@3bb08c4e27dfa0c4dbe36cc2ec3f25bc406a5cae/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/Vineeshsuiii/SAT-RndD-QuestionsGen/resolve/3bb08c4e27dfa0c4dbe36cc2ec3f25bc406a5cae/tokenizer.model
534 kB
- Xet hash:
- 765e0e39b16a77f2932b9100d7a6e169e74e86183274d3c599354c7152370652
- Size of remote file:
- 534 kB
- SHA256:
- ab1b681ec7fc02fed5edd3026687d7a692a918c4dd8e150ca2e3994a6229843b
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