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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenized_chromosomes/chr_21_mapper.pkl from PoetschLab/GROVER: direct link, hf CLI and curl.
- Browser
- Download file 241 MB
-
https://huggingface.co/PoetschLab/GROVER/resolve/main/tokenized_chromosomes/chr_21_mapper.pkl
- Command line
-
hf download hf://PoetschLab/GROVER/tokenized_chromosomes/chr_21_mapper.pkl
-
curl -L -o chr_21_mapper.pkl https://huggingface.co/PoetschLab/GROVER/resolve/main/tokenized_chromosomes/chr_21_mapper.pkl
241 MB
- Xet hash:
- 7eadff7ff7aa6c2d863f6c08d299029f4a67432282d1b8d6a8af5170f036dc0a
- Size of remote file:
- 241 MB
- SHA256:
- 071cb3bf35482abb7bdd32506344a79ae2ae8453fcd162aa49cc8c32b59fa599
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