Instructions to use GuysTrans/bart-base-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GuysTrans/bart-base-mini with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GuysTrans/bart-base-mini") model = AutoModelForSeq2SeqLM.from_pretrained("GuysTrans/bart-base-mini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from GuysTrans/bart-base-mini: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/GuysTrans/bart-base-mini/resolve/d38e4e2d520a2cde8f43d3891ee2cb89071b6000/pytorch_model.bin
- Command line
-
hf download hf://GuysTrans/bart-base-mini@d38e4e2d520a2cde8f43d3891ee2cb89071b6000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GuysTrans/bart-base-mini/resolve/d38e4e2d520a2cde8f43d3891ee2cb89071b6000/pytorch_model.bin
558 MB
- Xet hash:
- 1d61f9098723dc8782f9e8fffd75a2b92944f644a1732ad0801eb2630b4188fa
- Size of remote file:
- 558 MB
- SHA256:
- ed0df274c53eced0bba89080ceae52a7ceaf1a1a0eae54bc4da7011dc9509576
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.