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