Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2017_Augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2017_Augmented with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2017_Augmented") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2017_Augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d085c518bc8d07c90d5bed124a367ab45dbc0119d28695e036d650baccb8ce1e
- Size of remote file:
- 185 MB
- SHA256:
- 62e75502d5f8897b82d4a8021183da8bf8222fd49acf51471a2dddb608ac8594
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