Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Mini_2006_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Mini_2006_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Mini_2006_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Mini_2006_US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5d80d7cd6a5aa664f938947b18645b0fbe1800efd5915bf2762a5922b72c112
- Size of remote file:
- 81.8 MB
- SHA256:
- f8404c59d19d27a1da63e053ecb1161ba56c0b8ec2830563760e03ce124f1a03
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