Instructions to use ainize/gpt-j-6B-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ainize/gpt-j-6B-float16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ainize/gpt-j-6B-float16")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ainize/gpt-j-6B-float16") model = AutoModel.from_pretrained("ainize/gpt-j-6B-float16") - Notebooks
- Google Colab
- Kaggle
File size: 136 Bytes
9e7790a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:5f2bfec9e7f68bf9a2b2d214f00c4f99b404efde5b77fef679b7013e65aa0bcb
size 11806345675
|