Instructions to use michaelnath/dummy_code_to_code_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelnath/dummy_code_to_code_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("michaelnath/dummy_code_to_code_model") model = AutoModelForSeq2SeqLM.from_pretrained("michaelnath/dummy_code_to_code_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from michaelnath/dummy_code_to_code_model: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
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https://huggingface.co/michaelnath/dummy_code_to_code_model/resolve/main/.gitignore
- Command line
-
hf download hf://michaelnath/dummy_code_to_code_model/.gitignore
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curl -L -o .gitignore https://huggingface.co/michaelnath/dummy_code_to_code_model/resolve/main/.gitignore
13 Bytes
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