Instructions to use MrVicente/bart_qa_assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrVicente/bart_qa_assistant with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MrVicente/bart_qa_assistant") model = AutoModelForSeq2SeqLM.from_pretrained("MrVicente/bart_qa_assistant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MrVicente/bart_qa_assistant: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/MrVicente/bart_qa_assistant/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MrVicente/bart_qa_assistant/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MrVicente/bart_qa_assistant/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 457f081590972407285c5a0570736b49075d7288fbda145e947c59537dce4a3b
- Size of remote file:
- 1.63 GB
- SHA256:
- a34096c7562b44e32c30bd0b2bc19872bc96ec8d804c0b966f159a22ff5e73b8
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