Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2011_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2011_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2011_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2011_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a180836cb0d581a231d650c62becd37edbb39f6ef82d8045d8d7ec0b29c9cbce
- Size of remote file:
- 81.8 MB
- SHA256:
- 435c174168d4ac8891b1111a14666e3e7dc022151f867fe934a9c0ef7ee10b69
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