Instructions to use FinText/TimesFM_8M_2000_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2000_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2000_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2000_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a4663f1516218b6b8fe573d2aad7d5223c0c0c35b43310293bb281b8be0d984
- Size of remote file:
- 32.2 MB
- SHA256:
- a83beeb18f3e065e581b3e10aca11c3a078e8d5dccbf1d2edaf2e296011be6ac
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