Instructions to use LRJ1981/Rito_Version1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LRJ1981/Rito_Version1.2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("LRJ1981/Rito_Version1.2") model = AutoModelForSeq2SeqLM.from_pretrained("LRJ1981/Rito_Version1.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- autotrain
- text2text-generation
widget:
- text: I love AutoTrain
datasets:
- autotrain-tlvon-zmjgo/autotrain-data
Model Trained Using AutoTrain
- Problem type: Seq2Seq
Validation Metrics
loss: 0.007954709231853485
rouge1: 99.4349
rouge2: 99.1573
rougeL: 99.4066
rougeLsum: 99.4213
gen_len: 458.5909
runtime: 309.674
samples_per_second: 0.639
steps_per_second: 0.161
: 10.0