Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2021_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2021_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2021_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2021_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa5d945f1f35c22af8286d100b89426b97a543decbc485a276bdcd7e4540176b
- Size of remote file:
- 185 MB
- SHA256:
- ce525cb7e3c2de256ba482763f9b2baf7ca5e76e6ea668fa30ce05d7ad33991d
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