Text Generation
PEFT
Safetensors
English
gemma4
gemma
lora
qlora
instruction-tuning
task-induction
in-context-learning
conversational
Instructions to use Davitotty1/Teleste-Learner-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Davitotty1/Teleste-Learner-12B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-12b-it") model = PeftModel.from_pretrained(base_model, "Davitotty1/Teleste-Learner-12B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b951605efad3421348c02260c207a38475b1ebf4b22aa9d28572f4e637e8cfd
- Size of remote file:
- 5.84 kB
- SHA256:
- 65cd4a857721949b6486210b10c4317daeaccc69e355f39fa87ee4aaab03aa81
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