Instructions to use tlkh/code-byt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tlkh/code-byt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tlkh/code-byt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("tlkh/code-byt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 196 Bytes
75a0f47 | 1 2 3 4 5 6 7 8 | {
"epoch": 1.0,
"train_loss": 1.444948594361097,
"train_runtime": 31915.8638,
"train_samples": 386475,
"train_samples_per_second": 12.109,
"train_steps_per_second": 0.378
} |