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
| { | |
| "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 | |
| } |