Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2016_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2016_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2016_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2016_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c9bbc9ceea5b99f836bcda3a527ddd92f9a490976a4da46841c660d6a934cf8
- Size of remote file:
- 185 MB
- SHA256:
- 49aca5a135836e51e270107d76501c71c6ec04fd382e495ba1b9747ce59aa405
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