Time Series Forecasting
Transformers
Safetensors
t5
text2text-generation
TSFM
Finance
Financial Forecasting
FinText
text-generation-inference
Instructions to use FinText/Chronos_Small_2002_Global with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FinText/Chronos_Small_2002_Global with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FinText/Chronos_Small_2002_Global") model = AutoModelForSeq2SeqLM.from_pretrained("FinText/Chronos_Small_2002_Global") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 072c8885456c96fcb13f72873d6f8016066b34e7bd528edc12c1d59801879608
- Size of remote file:
- 185 MB
- SHA256:
- d90ba5d92ab9c2b1412ed8e9e25cccff73bba044a3984a591918685a38d5e86c
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