Instructions to use uclanlp/plbart-multi_task-weak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-weak with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-weak") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-weak", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-multi_task-weak: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-weak/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-multi_task-weak/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-multi_task-weak/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- a0b58595db3eb672b95c0930402c98a31eb7e1c58ec1691476cc39a8adcde521
- Size of remote file:
- 557 MB
- SHA256:
- 738e46ee7148bf0a3b19ef35a37f2f53ccdfe0c2153806fbaf1eaa8a07b0400d
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