Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2005_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2005_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2005_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2005_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92024ad4b3f92675bba52cb7e4e4a640347b4c584055aae3e8e11d438e070647
- Size of remote file:
- 81.8 MB
- SHA256:
- 54a5ab475003f5ac0f5306cb64a61248f3fcf311549bf49d4fffdf0ad395cb27
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