Instructions to use hztang/BART-large-base-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hztang/BART-large-base-custom with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hztang/BART-large-base-custom") model = AutoModelForSeq2SeqLM.from_pretrained("hztang/BART-large-base-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hztang/BART-large-base-custom: direct link, hf CLI and curl.
- Browser
- Download file 4.08 kB
-
https://huggingface.co/hztang/BART-large-base-custom/resolve/main/training_args.bin
- Command line
-
hf download hf://hztang/BART-large-base-custom/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hztang/BART-large-base-custom/resolve/main/training_args.bin
4.08 kB
- Xet hash:
- a78235b88326003ef458fbd974eb42371e7a0c07a0c80c44d1aa9b7cd363d97e
- Size of remote file:
- 4.08 kB
- SHA256:
- 12dd67e866038dea528c79cad06c298ac6e90f5be2f8016cf18030e2b6eafc56
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