Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2021_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2021_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2021_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2021_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa461a36bea9d4fbad74fc0ee90eb72320e8690e966d3bdff42809fc4ce7261e
- Size of remote file:
- 185 MB
- SHA256:
- bd8f85a4487eb80c54e373dc3ae2698d2aa6f2440f161b82ebbe246bed58cc4a
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