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 vocab.json from michaelnath/dummy_code_to_code_model: direct link, hf CLI and curl.
- Browser
- Download file 511 kB
-
https://huggingface.co/michaelnath/dummy_code_to_code_model/resolve/5586075484676bb0a3ba87edd683f55a9f195c4c/vocab.json
- Command line
-
hf download hf://michaelnath/dummy_code_to_code_model@5586075484676bb0a3ba87edd683f55a9f195c4c/vocab.json
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curl -L -o vocab.json https://huggingface.co/michaelnath/dummy_code_to_code_model/resolve/5586075484676bb0a3ba87edd683f55a9f195c4c/vocab.json
511 kB
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