Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2000_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2000_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2000_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2000_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0312dc6de295f4cf349086ca8ff894d5a30e25dcfa4012482a895db01148485
- Size of remote file:
- 185 MB
- SHA256:
- 70166bbe2644a4244fa9ecb0c726480d3ba46cc9ce7e2c543d9b661858a50b58
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