Instructions to use gszabo/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gszabo/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="gszabo/test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("gszabo/test") model = AutoModelForMaskedLM.from_pretrained("gszabo/test") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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@@ -1,5 +1,5 @@
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{
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"_name_or_path": "xlm-roberta-base
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"architectures": [
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"XLMRobertaForMaskedLM"
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],
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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{
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"_name_or_path": "xlm-roberta-base",
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"architectures": [
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"XLMRobertaForMaskedLM"
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],
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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+
"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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