Summarization
Transformers
PyTorch
Safetensors
English
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use sagard21/python-code-explainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagard21/python-code-explainer with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="sagard21/python-code-explainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sagard21/python-code-explainer") model = AutoModelForSeq2SeqLM.from_pretrained("sagard21/python-code-explainer") - Notebooks
- Google Colab
- Kaggle
Request: DOI
#3
by Abhilash6944 - opened
Hi @sagard21 , I am planning to use the pre-trained model for my research project. To properly cite and reference the model in my work, I kindly request that you provide the DOI associated with this model and the associated training dataset, if available. Thank you.
Hi Abhilash,
I have generated the DOI for the model. The dataset used to train is available here - https://huggingface.co/datasets/sagard21/autotrain-data-code-explainer