Fill-Mask
Transformers
Safetensors
English
roberta-prelayernorm
mist
chemistry
molecular-property-prediction
Instructions to use mist-models/mist-1.8B-dh61satt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mist-models/mist-1.8B-dh61satt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mist-models/mist-1.8B-dh61satt")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mist-models/mist-1.8B-dh61satt") model = AutoModelForMaskedLM.from_pretrained("mist-models/mist-1.8B-dh61satt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Restore previous config
Browse files- config.json +17 -16
config.json
CHANGED
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{
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"bos_token_id": 0,
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"
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"
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"transformers_version": "4.57.1",
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"enable_token_counter": true,
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"
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"
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"max_position_embeddings": 2048,
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"type_vocab_size": 2,
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"initializer_range": 0.02,
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"layer_norm_eps": 1e-12,
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"position_embedding_type": "absolute",
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"use_cache": true,
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"
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"vocab_size": 165,
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"hidden_size": 2304,
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"num_hidden_layers": 28,
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"num_attention_heads": 18,
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"intermediate_size": 9216,
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"architectures": [
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"RobertaPreLayerNormForMaskedLM"
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]
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}
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{
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"architectures": [
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"RobertaPreLayerNormForMaskedLM"
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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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"dtype": "float32",
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"enable_token_counter": true,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 2304,
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"initializer_range": 0.02,
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"intermediate_size": 9216,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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"model_type": "roberta-prelayernorm",
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"num_attention_heads": 18,
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"num_hidden_layers": 28,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.57.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 165
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}
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