Instructions to use uclanlp/plbart-single_task-python_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-python_en with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-python_en") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-python_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from uclanlp/plbart-single_task-python_en: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-single_task-python_en/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://uclanlp/plbart-single_task-python_en@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/uclanlp/plbart-single_task-python_en/resolve/refs%2Fpr%2F1/model.safetensors
557 MB
- Xet hash:
- 370463fa1905d5c97b76cade9969292c04e4cbc1e693d705aea246ccfce8901d
- Size of remote file:
- 557 MB
- SHA256:
- 13af50cd950ecaec805727f973ad9fdc0751d6a684dacc770c9bf809320c3090
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