Time Series Forecasting
Transformers
Safetensors
TimesFM
timebraid
text-generation
time-series
time-series-understanding
forecasting
multimodal
qwen3
custom_code
Instructions to use XinyueWangg/TimeBraid-2.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XinyueWangg/TimeBraid-2.5B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("XinyueWangg/TimeBraid-2.5B", trust_remote_code=True, device_map="auto") - TimesFM
How to use XinyueWangg/TimeBraid-2.5B with TimesFM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download timebraid/__init__.py from XinyueWangg/TimeBraid-2.5B: direct link, hf CLI and curl.
- Browser
- Download file 2.75 kB
-
https://huggingface.co/XinyueWangg/TimeBraid-2.5B/resolve/main/timebraid/__init__.py
- Command line
-
hf download hf://XinyueWangg/TimeBraid-2.5B/timebraid/__init__.py
-
curl -L -o __init__.py https://huggingface.co/XinyueWangg/TimeBraid-2.5B/resolve/main/timebraid/__init__.py
2.75 kB
| """Public TimeBraid package with lazy Hugging Face runtime exports.""" | |
| __all__ = [ | |
| # Runtime types | |
| "GenerationRoute", | |
| "TimeBraid", | |
| "TimeBraidBatchFeature", | |
| "TimeBraidConfig", | |
| "TimeBraidGenerateOutput", | |
| "TimeBraidLossBreakdown", | |
| "TimeBraidOutput", | |
| "TimeBraidProcessor", | |
| # Registration | |
| "register_timebraid_auto_classes", | |
| # Loading and validation | |
| "LoadedTimeBraid", | |
| "ValidatedTimeBraidCheckpointSource", | |
| "load_timebraid_checkpoint", | |
| "load_timebraid_tokenizer", | |
| "validate_timebraid_canonical_artifact", | |
| "validate_timebraid_checkpoint_source", | |
| "validate_timebraid_model", | |
| ] | |
| def __getattr__(name: str): | |
| if name not in __all__: | |
| raise AttributeError(f"module {__name__!r} has no attribute {name!r}") | |
| from .model import ( | |
| LoadedTimeBraid, | |
| TimeBraid, | |
| TimeBraidConfig, | |
| TimeBraidGenerateOutput, | |
| TimeBraidLossBreakdown, | |
| TimeBraidOutput, | |
| ValidatedTimeBraidCheckpointSource, | |
| load_timebraid_checkpoint, | |
| load_timebraid_tokenizer, | |
| validate_timebraid_canonical_artifact, | |
| validate_timebraid_checkpoint_source, | |
| validate_timebraid_model, | |
| ) | |
| from .model.mot.generation_route import GenerationRoute | |
| from .model.timebraid import register_timebraid_auto_classes | |
| from .processing_timebraid import TimeBraidBatchFeature, TimeBraidProcessor | |
| # Importing any public name registers the Hugging Face auto classes, so | |
| # `AutoModelForCausalLM.from_pretrained` resolves without remote code. | |
| # `register_timebraid_auto_classes` is exported as well, because relying on | |
| # an import side effect forces callers to suppress an unused-import warning. | |
| register_timebraid_auto_classes() | |
| return { | |
| "GenerationRoute": GenerationRoute, | |
| "LoadedTimeBraid": LoadedTimeBraid, | |
| "TimeBraid": TimeBraid, | |
| "TimeBraidBatchFeature": TimeBraidBatchFeature, | |
| "TimeBraidConfig": TimeBraidConfig, | |
| "TimeBraidGenerateOutput": TimeBraidGenerateOutput, | |
| "TimeBraidLossBreakdown": TimeBraidLossBreakdown, | |
| "TimeBraidOutput": TimeBraidOutput, | |
| "TimeBraidProcessor": TimeBraidProcessor, | |
| "ValidatedTimeBraidCheckpointSource": ValidatedTimeBraidCheckpointSource, | |
| "load_timebraid_checkpoint": load_timebraid_checkpoint, | |
| "load_timebraid_tokenizer": load_timebraid_tokenizer, | |
| "register_timebraid_auto_classes": register_timebraid_auto_classes, | |
| "validate_timebraid_canonical_artifact": validate_timebraid_canonical_artifact, | |
| "validate_timebraid_checkpoint_source": validate_timebraid_checkpoint_source, | |
| "validate_timebraid_model": validate_timebraid_model, | |
| }[name] | |