Instructions to use Taykhoom/SpliceBERT-1024nt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/SpliceBERT-1024nt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/SpliceBERT-1024nt", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/SpliceBERT-1024nt", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 810 Bytes
fe65700 7acb49d fe65700 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"_name_or_path": "Taykhoom/SpliceBERT-1024nt",
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert_updated",
"auto_map": {
"AutoConfig": "Taykhoom/BERT-updated--configuration_bert_updated.BertUpdatedConfig",
"AutoModel": "Taykhoom/BERT-updated--modeling_bert.BertModel",
"AutoModelForMaskedLM": "Taykhoom/BERT-updated--modeling_bert.BertForMaskedLM"
},
"vocab_size": 10,
"hidden_size": 512,
"num_hidden_layers": 6,
"num_attention_heads": 16,
"intermediate_size": 2048,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"attention_probs_dropout_prob": 0.1,
"max_position_embeddings": 1026,
"type_vocab_size": 2,
"initializer_range": 0.02,
"layer_norm_eps": 1e-12,
"pad_token_id": 0,
"model_max_length": 1024,
"transformers_version": "4.57.6"
} |