How to use trl-internal-testing/tiny-BartModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="trl-internal-testing/tiny-BartModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("trl-internal-testing/tiny-BartModel") model = AutoModel.from_pretrained("trl-internal-testing/tiny-BartModel", device_map="auto")
https://huggingface.co/trl-internal-testing/tiny-BartModel/resolve/main/README.md
hf download hf://trl-internal-testing/tiny-BartModel/README.md
curl -L -o README.md https://huggingface.co/trl-internal-testing/tiny-BartModel/resolve/main/README.md
library_name: transformers tags: - trl
This is a minimal model built for unit tests in the TRL library.
