Comments (1)
Without intermediate conversion using transformer-script, I'm able to get result using the following method:
model = TFT5ForConditionalGeneration.from_pretrained('valhalla/t5-small-e2e-qg', from_pt=True)
Don't know if there is bug in conversion script. Closing for now.
from question_generation.
Related Issues (20)
- Can we generate questions based on the type of question?
- abbrevation in question generated are some times coming in small case such as it instead of IT/ai instead AI etc
- Retraining the model valhalla/t5-small-e2e-qg with questions only
- Model trained for e2e-qg does not generate any questions
- How to get the `char end` and `char start` in the generated question and answers from valhalla/t5-base-qg-hl? HOT 1
- error while using onnx runtime
- Requirements.txt needed HOT 1
- How would you fix these issues to get the project running HOT 1
- Fine tuning a T5 model with another language
- How can i get this to work with transformer 4.x HOT 1
- Loss Function multi-task
- AttributeError: module 'dill._dill' has no attribute 'PY3' HOT 5
- requirements.txt file would be very useful
- unexepect <pad> HOT 1
- ValueError: substring not found HOT 1
- How can i run this project with transformers 4?. HOT 1
- Which Bart model used in the pipeline
- Is it possible to add a parameter for number of question to be generated in the question generation model
- No such file or directory: '/root/.cache/huggingface/datasets/squad_multitask/highlight_qg_format/1.0.0/dataset_info.json' HOT 5
- Fine-tuning using GPU HOT 1
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from question_generation.