Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2002_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2002_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2002_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2002_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5c1f5866013909013a7bc69329904ef7d8efd21955b5e951b9e350bb2a10f4d
- Size of remote file:
- 33.6 MB
- SHA256:
- 6c8da0f4c6b89aad115e370b2a1d53f60b7c27892f71aa3a258d5ab5475cdce6
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