Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2022_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2022_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2022_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2022_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a42a70988bee09c0b281a6c966dc8777124ccc6ce98c4298fe610fe637c13b6b
- Size of remote file:
- 185 MB
- SHA256:
- 5b79f7b88c825a3eec923f665488b6ac26bbf1da271168f4108b16c1b60efe68
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