Instructions to use uclanlp/plbart-multi_task-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-static with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-static") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-static", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-multi_task-static: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-static/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-multi_task-static/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-multi_task-static/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 3d771bf87bca42bddd51e028c08d2f4ff835186553e48bb0f32eef8532bab7af
- Size of remote file:
- 557 MB
- SHA256:
- dbeef9cce1393e7b50ce9b099ff3765175bffb51c0d3c103d65b3646276e7408
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