Instructions to use julien-c/dummy-unknown with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use julien-c/dummy-unknown with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="julien-c/dummy-unknown")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("julien-c/dummy-unknown") model = AutoModelForMaskedLM.from_pretrained("julien-c/dummy-unknown", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +4 -4
config.json
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@@ -3,9 +3,9 @@
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"RobertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id":
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"do_sample": false,
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"
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"finetuning_task": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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@@ -26,7 +26,7 @@
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"pad_token_id":
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"repetition_penalty": 1.0,
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"temperature": 1.0,
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"top_k": 50,
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"type_vocab_size": 2,
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"use_bfloat16": false,
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"vocab_size": 10
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}
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"RobertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 19,
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"do_sample": false,
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"eos_token_id": 19,
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"finetuning_task": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"pad_token_id": 19,
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"repetition_penalty": 1.0,
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"temperature": 1.0,
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"top_k": 50,
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"type_vocab_size": 2,
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"use_bfloat16": false,
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"vocab_size": 10
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+
}
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