ml-operations / library
Transformers
Capability: Transformers
Use it when
- load, fine-tune, and evaluate pretrained transformer models
- use a common API across text vision audio and multimodal model families
What it solves
Not the fit when
- model weights and datasets have their own licenses and resource needs
Install
pip install transformers
Invoke
Load a version-pinned tokenizer and model with `from_pretrained`, then use a pipeline, Trainer, or explicit PyTorch loop and retain the model revision.
Alternatives
No reviewed alternatives recorded yet.