Instructions to use PoetschLab/GROVER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PoetschLab/GROVER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="PoetschLab/GROVER")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PoetschLab/GROVER") model = AutoModelForMaskedLM.from_pretrained("PoetschLab/GROVER") - Inference
- Notebooks
- Google Colab
- Kaggle
tokenizer
#1
by CChahrour - opened
Hi,
When I get the tokenizer with tokenizer = AutoTokenizer.from_pretrained("PoetschLab/GROVER")
I get the following error:
TypeError: the JSON object must be str, bytes or bytearray, not NoneType
I was wondering if you had any advice?
Many thanks
Thank you for using our model.
Thanks to your comment we saw that there was an error on our side during the saving of the tokenizer. We just updated the files and now you should be able to use it without errors.
Thanks all sorted now.
melissasanabria changed discussion status to closed