Instructions to use peterandrew987/test-bart-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterandrew987/test-bart-qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("peterandrew987/test-bart-qa") model = AutoModelForSeq2SeqLM.from_pretrained("peterandrew987/test-bart-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from peterandrew987/test-bart-qa: direct link, hf CLI and curl.
- Browser
- Download file 526 MB
-
https://huggingface.co/peterandrew987/test-bart-qa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://peterandrew987/test-bart-qa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/peterandrew987/test-bart-qa/resolve/main/pytorch_model.bin
526 MB
- Xet hash:
- b639ed95f160e568bdeb16871881a884d5be2956a26dbd1a1afc7e3a0207a764
- Size of remote file:
- 526 MB
- SHA256:
- 2f6c88c0a934a4e3e1d3bcf694534bc6fa0818414478365e40f2b4994dc90fab
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