Instructions to use google/flan-ul2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/flan-ul2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/flan-ul2") model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-ul2") - Notebooks
- Google Colab
- Kaggle
What is the Flan models default value (temperature, top_p, repetition_penalty) ?
#30
by phillip2f - opened
When Loading Google Flan models through Langchain HuggingFace Pipeline or other methods, if not setting the temperature value in model_kwargs,
What is the default value for the model ?
Is the setting like: temperature= 1, top_p=1 , repetition_penalty=1.5 are default setting?