Instructions to use FinText/TimesFM_20M_2011_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2011_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2011_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2011_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11bd27df9d73ada9f3846f41546275efbfe306d6287ba5adcedfec47fd863c4d
- Size of remote file:
- 79.3 MB
- SHA256:
- fec83db714436131603f01a9d32863669588f9194d3470b1f636217c564d4885
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.