Instructions to use google/timesfm-2.5-200m-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/timesfm-2.5-200m-transformers with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFm2_5ModelForPrediction tokenizer = AutoTokenizer.from_pretrained("google/timesfm-2.5-200m-transformers") model = TimesFm2_5ModelForPrediction.from_pretrained("google/timesfm-2.5-200m-transformers") - TimesFM
How to use google/timesfm-2.5-200m-transformers 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
Ctrl+K