Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2002_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2002_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2002_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2002_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4db4ee8381e192b4bf1f5697d90faa8a2e96b6b5e50828e4b75fe5a2bfa8bfff
- Size of remote file:
- 185 MB
- SHA256:
- a6ea73430e127a0a9fce80d708d486d37561642fdf6a64d5f380b7627fb1d5b6
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