Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2022_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2022_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2022_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2022_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eba478bd83e85e856c456416287e182d6c5b4be14ec73be381dbfd793a0114c9
- Size of remote file:
- 185 MB
- SHA256:
- 04ed69f38622136cdf0f4965b23a027017b3e9b64cd71ffa89c8d51fcc3737b7
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