Instructions to use Koshti10/BART-large-ET-Synthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Koshti10/BART-large-ET-Synthetic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Koshti10/BART-large-ET-Synthetic") model = AutoModelForSeq2SeqLM.from_pretrained("Koshti10/BART-large-ET-Synthetic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Koshti10/BART-large-ET-Synthetic: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Koshti10/BART-large-ET-Synthetic/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Koshti10/BART-large-ET-Synthetic/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Koshti10/BART-large-ET-Synthetic/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 08b915c3481fa8b95fd4381e2e10f7984f2de19854b2574e2110ecd5dc0460cd
- Size of remote file:
- 1.63 GB
- SHA256:
- 0727e1f19f5f30f9018745b5aa302f9b53b2cbdab8921847e9a24887076ccf3e
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