Instructions to use FinText/TimesFM_20M_2019_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2019_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2019_Global") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2019_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d4af367b27ae769ab891209ec6531b31069e8cb029db9c07bc757126a055332
- Size of remote file:
- 79.3 MB
- SHA256:
- 91abe044757c2b4fa9d1e2eb18f315d4a28d1c97f5e569ea5f1aa39a64a4dde1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.