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
ModuleNotFoundError: No module named 't5x'
#7
by consciousAI - opened
While running the conversion script running into the below error. Already tried
!pip install --upgrade accelerate transformers bitsandbytes flax
Error:
Traceback (most recent call last):
File "convert_t5x_checkpoint_to_pytorch.py", line 36, in
from t5x import checkpoints
ModuleNotFoundError: No module named 't5x'
Nevermind - resolved by fresh installing the libs, not sure what was the conflict prior!
consciousAI changed discussion status to closed