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 pytorch_model.bin from biu-nlp/QAmden: direct link, hf CLI and curl.
- Browser
- Download file 1.84 GB
-
https://huggingface.co/biu-nlp/QAmden/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://biu-nlp/QAmden/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/biu-nlp/QAmden/resolve/main/pytorch_model.bin
1.84 GB
- Xet hash:
- 708b0b7fa95fe112b9c45b4f46a8a576b1202ba5118cdac90f66249892c784fa
- Size of remote file:
- 1.84 GB
- SHA256:
- b5f2c119ea961bd9f7d08768d686efc1a0c5afe9a44989e589837e94854576d3
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