Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Tiny_2001_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Tiny_2001_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Tiny_2001_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Tiny_2001_Global", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dc39343bb5fd4509a7a41c71a8f128a15fc46307f92a2d750da777ead6289e1
- Size of remote file:
- 33.6 MB
- SHA256:
- 2768997534748f5bce3b862d1cc52649d5ba6832b535d059e166e9d58bec5a33
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