Instructions to use ratishsp/Centrum-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ratishsp/Centrum-Large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ratishsp/Centrum-Large") model = AutoModelForSeq2SeqLM.from_pretrained("ratishsp/Centrum-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 187 Bytes
edd0ba2 | 1 2 3 4 5 6 7 8 | {
"epoch": 9.27,
"eval_loss": 3.329162836074829,
"eval_runtime": 58.6716,
"eval_samples": 2522,
"eval_samples_per_second": 42.985,
"eval_steps_per_second": 2.693
} |