Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2005_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2005_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2005_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2005_Augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 449ac7911c481344e0f2186fd4c5f9f5a399e321b6d5ba9937060b0df18e75b4
- Size of remote file:
- 185 MB
- SHA256:
- a6ec288465ada17fcd76f57c52789041399821fd25f713b2ef7533a7b88fff7a
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