Instructions to use nguyenvulebinh/envibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenvulebinh/envibert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nguyenvulebinh/envibert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nguyenvulebinh/envibert") model = AutoModelForMaskedLM.from_pretrained("nguyenvulebinh/envibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0e69533
1
Parent(s): 2d9cbae
Update config.json
Browse files- config.json +1 -0
config.json
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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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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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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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"output_hidden_states": true,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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