Instructions to use microsoft/GODEL-v1_1-base-seq2seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/GODEL-v1_1-base-seq2seq with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/GODEL-v1_1-base-seq2seq") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/GODEL-v1_1-base-seq2seq") - Notebooks
- Google Colab
- Kaggle
Upload Godel_finetunning.ipynb
#8
by Aleef - opened
A jupyter notebook describing how to finetunne Godel on your custom dataset. Godel is a chatbot with large model consisting about 0.75 B trainable parameters. It's a cheat sheet to fine tunning so that you can get a head start and don't have to waste your time as I did. Cheers.
Aleef changed pull request status to closed
Aleef changed pull request status to open
Hello, Please how should i go about fine tunning the model with timestamps for the conversations. I want to train it with the conversation with their time stamps