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 tokenizer.json from sagard21/python-code-explainer: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/sagard21/python-code-explainer/resolve/82e18f860305aa9b5222f054084703d0c1b03264/tokenizer.json
- Command line
-
hf download hf://sagard21/python-code-explainer@82e18f860305aa9b5222f054084703d0c1b03264/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sagard21/python-code-explainer/resolve/82e18f860305aa9b5222f054084703d0c1b03264/tokenizer.json
1.37 MB
- Xet hash:
- 9f6c486d810c3775dd248773c1b17faeedbc79a4f9f770652122530c6739a2b4
- Size of remote file:
- 1.37 MB
- SHA256:
- 20b1374e1ed97113ff9b6c91a742bb1b63b8a690b43127bb40551512780c2fd6
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