Instructions to use biu-nlp/QAmden with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/QAmden with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("biu-nlp/QAmden") model = AutoModelForSeq2SeqLM.from_pretrained("biu-nlp/QAmden", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from biu-nlp/QAmden: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/biu-nlp/QAmden/resolve/main/training_args.bin
- Command line
-
hf download hf://biu-nlp/QAmden/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/biu-nlp/QAmden/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 0e20cf0abdc0b5c8cb42d5307d10cc4e5ca02384f614b6c8ced12839323a1242
- Size of remote file:
- 3.44 kB
- SHA256:
- 321f46fa8f9242a26926585a56d2f4d29ba72736696f0297658fadefd7bca3b7
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