Instructions to use bioformers/bioformer-8L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bioformers/bioformer-8L with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bioformers/bioformer-8L")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bioformers/bioformer-8L") model = AutoModelForMaskedLM.from_pretrained("bioformers/bioformer-8L") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +17 -0
config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"model_type": "bert",
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"max_position_embeddings": 512,
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"type_vocab_size": 2,
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"vocab_size": 32768
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}
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