Text Classification
Transformers
Safetensors
English
gemma3_text
text-generation
sweelol-ai
gemma
distillation
pruning
lora
prompt-tuning
text-embeddings-inference
Instructions to use sweelol/gemma3-270m-dolly-teacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sweelol/gemma3-270m-dolly-teacher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sweelol/gemma3-270m-dolly-teacher")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sweelol/gemma3-270m-dolly-teacher") model = AutoModelForCausalLM.from_pretrained("sweelol/gemma3-270m-dolly-teacher", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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