Instructions to use WikiQuality/pre_filtered.rn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/pre_filtered.rn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/pre_filtered.rn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/pre_filtered.rn") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/pre_filtered.rn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16fc33b4bb5e12938c7aa36cbfc89cb5f5352d558a6caee0bfb80b9188551a52
- Size of remote file:
- 248 kB
- SHA256:
- bf35b6feb2a263a2bda48fea7ca68d184bbba54692d5e752540809c8b3e74755
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