Instructions to use huggingface/time-series-transformer-tourism-monthly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface/time-series-transformer-tourism-monthly with Transformers:
# Load model directly from transformers import AutoTokenizer, TimeSeriesTransformerForPrediction tokenizer = AutoTokenizer.from_pretrained("huggingface/time-series-transformer-tourism-monthly") model = TimeSeriesTransformerForPrediction.from_pretrained("huggingface/time-series-transformer-tourism-monthly") - Notebooks
- Google Colab
- Kaggle
context_length
#17 opened almost 2 years ago
by deleted
Adding `safetensors` variant of this model
#16 opened about 2 years ago
by
SFconvertbot
Meaning of label_length parameter in AutoformerConfig
1
#15 opened almost 3 years ago
by
yuvalarbel
Multiple rolling windows prediction
#14 opened almost 3 years ago
by
totallytong
How can I create training, validation, and test sets like "tourism_monthly"
4
#13 opened about 3 years ago
by
byjwangyu
Extending Horizon and Understanding Inference Step
7
#12 opened about 3 years ago
by
studygold
How time encoded into a tensor by gluonTS
2
#11 opened about 3 years ago
by
byjwangyu
Time Series ndim error
8
#10 opened about 3 years ago
by
younge1
Getting a negative NLL from outputs.loss - with multi-target normalized data
2
#9 opened over 3 years ago
by
yuvalarbel
Question regarding dynamic and static features
5
#6 opened over 3 years ago
by
NXTNiklas
Confusion regarding the lags_sequence argument for the config (and also other size arguments) (Practical question)
21
#4 opened over 3 years ago
by
yuvalarbel
Question about context_length and lags_sequence
2
#2 opened over 3 years ago
by
nisseb