Instructions to use FinText/TimesFM_20M_2017_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/TimesFM_20M_2017_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, TimesFMForHF tokenizer = AutoTokenizer.from_pretrained("FinText/TimesFM_20M_2017_Augmented") model = TimesFMForHF.from_pretrained("FinText/TimesFM_20M_2017_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5c5e56060e64f981ea5912a50cb794d0c5bbb60795535f13d6dacd5aa9e7cb2
- Size of remote file:
- 79.3 MB
- SHA256:
- de0b0ce5938c392604038771a3f721b006b87e96c233b3a6486043b8a05d304c
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