Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Question Answering
text-generation-inference
Instructions to use consciousAI/question-answering-generative-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-answering-generative-t5-v1-base-s-q-c with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("consciousAI/question-answering-generative-t5-v1-base-s-q-c") model = AutoModelForSeq2SeqLM.from_pretrained("consciousAI/question-answering-generative-t5-v1-base-s-q-c") - Notebooks
- Google Colab
- Kaggle
File size: 216 Bytes
1e637df | 1 2 3 4 5 6 7 8 9 10 | epoch = 5.0 eval_loss = 0.6750536561012268 eval_rouge1 = 0.8028 eval_rouge2 = 0.5168 eval_rougeL = 0.8022 eval_rougeLsum = 0.8022 eval_runtime = 1878.799 eval_samples_per_second = 5.626 eval_steps_per_second = 0.938 |