Instructions to use facebook/xmod-large-prenorm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/xmod-large-prenorm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/xmod-large-prenorm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/xmod-large-prenorm") model = AutoModelForMaskedLM.from_pretrained("facebook/xmod-large-prenorm") - Notebooks
- Google Colab
- Kaggle
XMOD -> Xmod
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -3,7 +3,7 @@
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"adapter_reduction_factor": 4,
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"adapter_reuse_layer_norm": false,
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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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"bos_token_id": 0,
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"adapter_reduction_factor": 4,
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"adapter_reuse_layer_norm": false,
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"architectures": [
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+
"XmodForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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