Instructions to use xyma/PROP-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xyma/PROP-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="xyma/PROP-wiki")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("xyma/PROP-wiki") model = AutoModelForPreTraining.from_pretrained("xyma/PROP-wiki") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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