Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2001_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2001_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2001_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2001_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e4ef6fb38c5a032e7d0a24d0bff98cf2ab21acac40fc6dd636729543366a86c
- Size of remote file:
- 33.6 MB
- SHA256:
- 9a3471af21ec25f8ffec149fcfe146e8c4ebd605f99babe4761c9c9b0b815392
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