Instructions to use JoaoJunior/codet5-small-code-summarization-ruby-personal-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoaoJunior/codet5-small-code-summarization-ruby-personal-learning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("JoaoJunior/codet5-small-code-summarization-ruby-personal-learning") model = AutoModelForSeq2SeqLM.from_pretrained("JoaoJunior/codet5-small-code-summarization-ruby-personal-learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 163 Bytes
7af9b2c | 1 2 3 4 5 6 7 8 9 | {
"_from_model_config": true,
"bos_token_id": 1,
"decoder_start_token_id": 0,
"eos_token_id": 2,
"pad_token_id": 0,
"transformers_version": "4.35.0"
}
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