Instructions to use QuangDuy/my-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuangDuy/my-tokenizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="QuangDuy/my-tokenizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("QuangDuy/my-tokenizer") model = AutoModelForMaskedLM.from_pretrained("QuangDuy/my-tokenizer") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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"intermediate_size": 1536,
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"layer_norm_eps": 1e-06,
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"max_position_embeddings": 1024,
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"model_type": "
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"pad_token_id": 38369,
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"intermediate_size": 1536,
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"layer_norm_eps": 1e-06,
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"max_position_embeddings": 1024,
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"model_type": "modernbert",
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"pad_token_id": 38369,
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