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
Using GROVER model on hg38 data
#7 opened 8 months ago
by
tibastar
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
SFconvertbot
I would like to confirm some information in the paper about genome annotation in the embeddings
3
#5 opened over 1 year ago
by
stavisav
Adding `safetensors` variant of this model
#4 opened over 1 year ago
by
SFconvertbot
Questions about the tokenization cycle
1
#3 opened over 1 year ago
by
iLOVE2D