Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2004_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2004_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2004_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2004_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82f35e006706cf4fa8a0ad73972973c3bb250f3d91ab1f1b21dc087ec9f3d335
- Size of remote file:
- 185 MB
- SHA256:
- 167d638289d6a820698fd25f161216121bb66a38156618e976aab83fe65fdcc8
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