Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Question(s) Generation
text-generation-inference
Instructions to use consciousAI/question-generation-auto-hints-t5-v1-base-s-q-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use consciousAI/question-generation-auto-hints-t5-v1-base-s-q-c with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("consciousAI/question-generation-auto-hints-t5-v1-base-s-q-c") model = AutoModelForSeq2SeqLM.from_pretrained("consciousAI/question-generation-auto-hints-t5-v1-base-s-q-c") - Notebooks
- Google Colab
- Kaggle
| {"evaluation_strategy": "epoch", "generation_num_beams": 4, "save_total_limit": 2, "train_file_path": "data/training/oneToManyQsCiscoTrainEncoded.pt", "valid_file_path": "data/training/oneToManyQsCiscoValidationEncoded.pt", "model_name_or_path": "anshoomehra/t5-v1-base-s-q-multi-task-qgen", "max_len": 512, "target_max_len": 512, "output_dir": "t5-v1-base-s-q-c-multi-task-qgen", "overwrite_output_dir": true, "per_device_train_batch_size": 2, "per_device_eval_batch_size": 2, "learning_rate": 0.0003, "num_train_epochs": 5, "do_train": true, "do_eval": true, "remove_unused_columns": false, "predict_with_generate": true} |