Transformers
Safetensors
text-generation-inference
unsloth
gemma
boolq
classification
qlora
Eval Results (legacy)
Instructions to use ViswanthSai/GemmaBoolQ-270M-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViswanthSai/GemmaBoolQ-270M-Finetuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ViswanthSai/GemmaBoolQ-270M-Finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer_config.json from ViswanthSai/GemmaBoolQ-270M-Finetuned: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/ViswanthSai/GemmaBoolQ-270M-Finetuned/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://ViswanthSai/GemmaBoolQ-270M-Finetuned/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/ViswanthSai/GemmaBoolQ-270M-Finetuned/resolve/main/tokenizer_config.json
1.16 MB
File too large to display, you can check the raw version instead.