Instructions to use internlm/OREAL-32B-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/OREAL-32B-SFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="internlm/OREAL-32B-SFT")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("internlm/OREAL-32B-SFT") model = AutoModelForCausalLM.from_pretrained("internlm/OREAL-32B-SFT") - Notebooks
- Google Colab
- Kaggle
Improve language tag
#2
by lbourdois - opened
Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.