Instructions to use Varosa/qa-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Varosa/qa-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Varosa/qa-generator") model = AutoModelForSeq2SeqLM.from_pretrained("Varosa/qa-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2214d1a131de0ece60dfd073352f1e6087e6b6532f29920da1215ae0c218557
- Size of remote file:
- 2.95 GB
- SHA256:
- 686dc2281a8355540dd8aebd49bcbb2c000ac9c70c20715913559583faf1e7e7
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