Instructions to use underactuated/opt-350m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underactuated/opt-350m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="underactuated/opt-350m")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("underactuated/opt-350m") model = AutoModel.from_pretrained("underactuated/opt-350m") - Notebooks
- Google Colab
- Kaggle