Instructions to use naem1023/bart-v2-dialouge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naem1023/bart-v2-dialouge with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("naem1023/bart-v2-dialouge") model = AutoModelForSeq2SeqLM.from_pretrained("naem1023/bart-v2-dialouge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from naem1023/bart-v2-dialouge: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/naem1023/bart-v2-dialouge/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://naem1023/bart-v2-dialouge/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/naem1023/bart-v2-dialouge/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 8bb113b0026e6fd3bad2c363a463733c97baef6695d663b576293528f8a215a8
- Size of remote file:
- 496 MB
- SHA256:
- 32356bcb13d43c26159e1e2248d88e9946cb9694be916f21381e1b4f831ef085
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