Instructions to use learn3r/bart_base_qgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn3r/bart_base_qgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("learn3r/bart_base_qgen") model = AutoModelForSeq2SeqLM.from_pretrained("learn3r/bart_base_qgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.cae458e
-
End of training
ee83c29 -
Model save
e276ba4 -
Training in progress, epoch 9
9f13b50
-
Training in progress, epoch 8
a50d177 -
Training in progress, epoch 8
5ea65f5
-
Training in progress, epoch 6
e72a5b6 -
Training in progress, epoch 5
47ef8e8 -
Training in progress, epoch 4
9062580
-
Training in progress, epoch 3
6cb9b7f -
Training in progress, epoch 2
6802efb
-
Training in progress, epoch 1
517f5a0 -
Training in progress, epoch 0
e8f36e5
-
initial commit
a231f3e