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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sagard21/python-code-explainer") model = AutoModelForSeq2SeqLM.from_pretrained("sagard21/python-code-explainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from sagard21/python-code-explainer: direct link, hf CLI and curl.
- Browser
- Download file 511 kB
-
https://huggingface.co/sagard21/python-code-explainer/resolve/main/vocab.json
- Command line
-
hf download hf://sagard21/python-code-explainer/vocab.json
-
curl -L -o vocab.json https://huggingface.co/sagard21/python-code-explainer/resolve/main/vocab.json
511 kB
File too large to display, you can check the raw version instead.