Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2003_US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2003_US with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2003_US") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2003_US", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19625bfbbee4f16fffe6a635ceed05a87fc10d1e371e6fab0d8374a9262d6d2e
- Size of remote file:
- 33.6 MB
- SHA256:
- e3236336b49d9d3104dacf9ba865eca6dd68c2d81d98a10cf2577a9e01e94072
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