Instructions to use trl-internal-testing/tiny-BartModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from trl-internal-testing/tiny-BartModel: direct link, hf CLI and curl.
- Browser
- Download file 12.5 MB
-
https://huggingface.co/trl-internal-testing/tiny-BartModel/resolve/main/model.safetensors
- Command line
-
hf download hf://trl-internal-testing/tiny-BartModel/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/trl-internal-testing/tiny-BartModel/resolve/main/model.safetensors
12.5 MB
- Xet hash:
- 9f0161d0b98176d17928255e20cc02b0c39fd51420f0b3e1fd3648bebd03664f
- Size of remote file:
- 12.5 MB
- SHA256:
- 621f203e0f27672fae668ac61137c800e9dbf5f2c820235ae2d426f18fb4f474
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