Instructions to use abhi11nav/F-CodeT5_ADC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi11nav/F-CodeT5_ADC with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("abhi11nav/F-CodeT5_ADC") model = AutoModelForSeq2SeqLM.from_pretrained("abhi11nav/F-CodeT5_ADC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 314 Bytes
ca96fc1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_from_model_config": true,
"bos_token_id": 1,
"decoder_start_token_id": 0,
"do_sample": true,
"early_stopping": true,
"eos_token_id": 2,
"length_penalty": 2.0,
"no_repeat_ngram_size": 3,
"num_beams": 6,
"pad_token_id": 0,
"top_k": 60,
"top_p": 0.95,
"transformers_version": "4.26.1"
}
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