Instructions to use NorGLM/NorGPT-3B-rfhl-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NorGLM/NorGPT-3B-rfhl-summarization 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="NorGLM/NorGPT-3B-rfhl-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("NorGLM/NorGPT-3B-rfhl-summarization") model = AutoModelForCausalLM.from_pretrained("NorGLM/NorGPT-3B-rfhl-summarization") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot