Instructions to use Dundalia/BART_oracle_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dundalia/BART_oracle_1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dundalia/BART_oracle_1") model = AutoModelForSeq2SeqLM.from_pretrained("Dundalia/BART_oracle_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Dundalia/BART_oracle_1: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Dundalia/BART_oracle_1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Dundalia/BART_oracle_1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Dundalia/BART_oracle_1/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 95074f809ccfafe806cad49277a49bab809a52baa9f1660c01529b44199ed154
- Size of remote file:
- 1.63 GB
- SHA256:
- a3d650413528b8788e79c73a3f09b56dd3f077929c97db8e979d52ec72dd62d5
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