Instructions to use uclanlp/plbart-multi_task-php with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-php with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-php") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-php", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-multi_task-php: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-php/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-multi_task-php/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-multi_task-php/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- ba7831206bb4f1188727f01f232c5ab385b29d1ac26c65fb255070f04eaff5a3
- Size of remote file:
- 557 MB
- SHA256:
- 81150b5f2c9a6ddc70e0c7be895d4bf38d43096b92a934c5cedd716f9f314bf7
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