Question Answering
Transformers
PyTorch
TensorBoard
gpt2
Generated from Trainer
text-generation-inference
Instructions to use vaibhav9/GPT2-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vaibhav9/GPT2-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="vaibhav9/GPT2-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vaibhav9/GPT2-qa") model = AutoModelForQuestionAnswering.from_pretrained("vaibhav9/GPT2-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Dec24_09-43-10_node3
- Dec24_10-40-47_node3
- Dec24_11-38-32_node3
- Dec24_11-49-29_node3
- Dec24_11-53-33_node3
- Dec24_11-56-07_node3
- Dec24_11-59-26_node3
- Dec24_18-01-44_node3
- Dec24_18-43-46_node3
- Dec24_21-05-20_node3
- Dec26_00-29-17_node3
- Dec26_10-31-50_node3
- Dec26_10-35-35_node3
- Dec26_20-21-28_node3
- Dec27_17-40-13_node3
- Dec27_17-43-56_node3