Instructions to use alirezamsh/quip-512-mocha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alirezamsh/quip-512-mocha with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alirezamsh/quip-512-mocha")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alirezamsh/quip-512-mocha") model = AutoModelForSequenceClassification.from_pretrained("alirezamsh/quip-512-mocha") - Notebooks
- Google Colab
- Kaggle
Hyperparameters for training
#2
by VukDju - opened
Hello,
First of all I would like to thank you for your work, the RQUGE framework seems very interesting to me. I am writing this to ask you about the hyperparameters that you used for fine-tuning RoBERTa model over MOCHA dataset for the span scorer module of RQUGE.
I am trying to make adjustments to enable RQUGE work for Slovenian language, and it would mean very much too me to know this information.
Thank you.
Kind regards,
Vuk Đuranović