Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2023_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2023_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2023_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2023_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15af9a5adb76d940c6b9e3692bbe25179fca36f20ebe21b59dfd76109618d72b
- Size of remote file:
- 81.8 MB
- SHA256:
- 811e959a3d8f0b581abde485baca853f2a20f73d5359ed39cf7f4371c51aacd9
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