Summarization
Transformers
Safetensors
llama
text-generation
trl
grpo
tldr
text-generation-inference
Instructions to use real-jiakai/SmolLM2-1.7B-TLDR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use real-jiakai/SmolLM2-1.7B-TLDR with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="real-jiakai/SmolLM2-1.7B-TLDR")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("real-jiakai/SmolLM2-1.7B-TLDR") model = AutoModelForCausalLM.from_pretrained("real-jiakai/SmolLM2-1.7B-TLDR") - Notebooks
- Google Colab
- Kaggle
Ctrl+K