Instructions to use BorisQ/PLBART_500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BorisQ/PLBART_500 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BorisQ/PLBART_500") model = AutoModelForSeq2SeqLM.from_pretrained("BorisQ/PLBART_500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from BorisQ/PLBART_500: direct link, hf CLI and curl.
- Browser
- Download file 1.62 GB
-
https://huggingface.co/BorisQ/PLBART_500/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://BorisQ/PLBART_500@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/BorisQ/PLBART_500/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.62 GB
- Xet hash:
- b8bb0499b9578dee4397ed4dcb6aafd01e65a5df93f922c2fc7be639980d915d
- Size of remote file:
- 1.62 GB
- SHA256:
- dd9c6eeb8aad556e8b0e21694f7a7351a202cb15fe16da0c057dac9e0964f032
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