Summarization
Transformers
Safetensors
English
custom_llm
text-generation
mixture-of-experts
Mixture of Experts
causal-lm
sft
custom_code
Instructions to use OliverSundaram/MoE-Study-Applied with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverSundaram/MoE-Study-Applied 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="OliverSundaram/MoE-Study-Applied", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OliverSundaram/MoE-Study-Applied", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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