Instructions to use juliushanusch/ChronosBoltBERT-Default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juliushanusch/ChronosBoltBERT-Default with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, ChronosBoltModelForForecasting tokenizer = AutoTokenizer.from_pretrained("juliushanusch/ChronosBoltBERT-Default") model = ChronosBoltModelForForecasting.from_pretrained("juliushanusch/ChronosBoltBERT-Default", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,441 Bytes
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"_name_or_path": "/data/horse/ws/juha972b-AION-BERT-Chronos/BERTi/BertModel/Bolt/BertBolt200k256/run-0/checkpoint-final",
"architectures": [
"ChronosBoltModelForForecasting"
],
"attention_probs_dropout_prob": 0.1,
"chronos_config": {
"context_length": 4096,
"debug_batch_idx": 0,
"debug_max_patches": 3,
"debug_patching": false,
"individual_dropout": 0.05,
"input_patch_size": 16,
"input_patch_stride": 16,
"masking_prob": 0.15,
"model_id": "prajjwal1/bert-small",
"patch_masking_prob": 0.8,
"patch_perturbation_noise_strength": 0.1,
"patch_perturbation_prob": 0.1,
"patch_perturbation_scale_strength": 0.1,
"prediction_length": 1,
"quantiles": [
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9
],
"unchanged_patch_prob": 0.1,
"use_reg_token": false
},
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 512,
"initializer_range": 0.05,
"intermediate_size": 2048,
"layer_norm_eps": 1e-12,
"mask_token_id": 1,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 8,
"num_hidden_layers": 4,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.49.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 2
}
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