Instructions to use kppkkp/OneChart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kppkkp/OneChart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kppkkp/OneChart", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kppkkp/OneChart", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,112 Bytes
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"_name_or_path": "kppkkp/OneChart",
"_remove_final_layer_norm": false,
"activation_dropout": 0.0,
"activation_function": "relu",
"architectures": [
"OneChartOPTForCausalLM"
],
"auto_map": {
"AutoConfig": "modeling_OneChart.OneChartConfig",
"AutoModel": "modeling_OneChart.OneChartOPTForCausalLM"
},
"attention_dropout": 0.0,
"bos_token_id": 2,
"do_layer_norm_before": true,
"dropout": 0.1,
"enable_bias": true,
"eos_token_id": 2,
"ffn_dim": 3072,
"freeze_vision_tower": false,
"hidden_size": 768,
"im_end_token": 50267,
"im_patch_token": 50265,
"im_start_token": 50266,
"number_token": 50268,
"image_token_len": 256,
"init_std": 0.02,
"layer_norm_elementwise_affine": true,
"layerdrop": 0.0,
"max_position_embeddings": 4096,
"model_type": "OneChart",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"prefix": "</s>",
"torch_dtype": "bfloat16",
"transformers_version": "4.32.1",
"use_cache": true,
"use_im_start_end": true,
"vision_select_layer": -2,
"vocab_size": 50269,
"word_embed_proj_dim": 768
} |