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MOMENT-1-large

Time Series Forecasting
Transformers
PyTorch
Safetensors
time series
forecasting
classification
anomaly detection
imputation
pretrained models
foundation models
time-series
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MononitoGoswami commited on
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Update README.md

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@@ -45,7 +45,7 @@ To load the pre-trained model for one of the tasks, use one of the following cod
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  **Forecasting**
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  ```python
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- from moment import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",
@@ -59,7 +59,7 @@ model.init()
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  **Classification**
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  ```python
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- from moment import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",
@@ -74,7 +74,7 @@ model.init()
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  **Anomaly Detection, Imputation, and Pre-training**
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  ```python
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- from moment import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",
@@ -85,7 +85,7 @@ mode.init()
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  **Representation Learning**
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  ```python
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- from moment import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",
 
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  **Forecasting**
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  ```python
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+ from momentfm import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",
 
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  **Classification**
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  ```python
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+ from momentfm import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",
 
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  **Anomaly Detection, Imputation, and Pre-training**
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  ```python
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+ from momentfm import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",
 
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  **Representation Learning**
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  ```python
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+ from momentfm import MOMENTPipeline
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  model = MOMENTPipeline.from_pretrained(
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  "AutonLab/MOMENT-1-large",