Instructions to use FinText/TimesFM_8M_2004_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_8M_2004_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_8M_2004_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_8M_2004_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8466cdf7fb4f21203187da2745778aa657207331146a9082ebfbaec8ffe9146
- Size of remote file:
- 32.2 MB
- SHA256:
- cda32cfe2b4fb316b8daf34fc440d697bb1c316f8421350f10c14a7490c5853c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.