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
metadata
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