Transformers
PyTorch
Persian
pegasus
text2text-generation
Artificial Intelligence
Natural Language Processing
Large Language Models
Question Answering
Fine-tuning
Instructions to use AliGhiasvand86/gisha_qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AliGhiasvand86/gisha_qa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AliGhiasvand86/gisha_qa") model = AutoModelForSeq2SeqLM.from_pretrained("AliGhiasvand86/gisha_qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AliGhiasvand86/gisha_qa: direct link, hf CLI and curl.
- Browser
- Download file 1.09 GB
-
https://huggingface.co/AliGhiasvand86/gisha_qa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AliGhiasvand86/gisha_qa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AliGhiasvand86/gisha_qa/resolve/main/pytorch_model.bin
1.09 GB
- Xet hash:
- e7d5db8b79b0dd6730b8959d87a7d7aacd49f024b6af9b24a47093c09d879808
- Size of remote file:
- 1.09 GB
- SHA256:
- 2be47588f32b3724d6b938399f3b92e21ee1919dff05cdb8bd3f838daacfab9c
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