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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
675f253 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ce2eb3c2bf79d2e987077993f8dba5882379cc1843fad64f8309c1bacda04d6c
size 5906505357
|