Transformers
Safetensors
gemma-3
fine-tuning
sft
unsloth
academic-title-generation
lora
4bit
chat-template
Instructions to use beta3/gemma3_1b_title_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beta3/gemma3_1b_title_generator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("beta3/gemma3_1b_title_generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download scheduler.pt from beta3/gemma3_1b_title_generator: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/beta3/gemma3_1b_title_generator/resolve/main/scheduler.pt
- Command line
-
hf download hf://beta3/gemma3_1b_title_generator/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/beta3/gemma3_1b_title_generator/resolve/main/scheduler.pt
1.47 kB
- Xet hash:
- f23b152df58970d62c9ab100eb713ed92945b1caefe87399b14641c8a7edeec0
- Size of remote file:
- 1.47 kB
- SHA256:
- a72d1abae8c55fdedc7f6e855fb3939aba7f6d9e09baa4306b2f5553739814c3
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