Instructions to use davda54/wiki-retrieval-patch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davda54/wiki-retrieval-patch-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="davda54/wiki-retrieval-patch-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("davda54/wiki-retrieval-patch-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 106 Bytes
ab6ad94 | 1 2 3 4 5 | {
"model_max_length": 1000000000000000019884624838656,
"tokenizer_class": "PreTrainedTokenizerFast"
}
|