Instructions to use LRJ1981/Rito_version1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LRJ1981/Rito_version1.3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LRJ1981/Rito_version1.3") model = AutoModelForSeq2SeqLM.from_pretrained("LRJ1981/Rito_version1.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - autotrain | |
| - text2text-generation | |
| widget: | |
| - text: "I love AutoTrain" | |
| # Model Trained Using AutoTrain | |
| - Problem type: Seq2Seq | |
| ## Validation Metrics | |
| loss: 0.06252285093069077 | |
| rouge1: 97.9816 | |
| rouge2: 85.7167 | |
| rougeL: 97.9566 | |
| rougeLsum: 97.9606 | |
| gen_len: 8.7346 | |
| runtime: 97.0993 | |
| samples_per_second: 17.271 | |
| steps_per_second: 4.325 | |
| : 14.0 | |