Instructions to use saishshinde15/SentimentTensor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use saishshinde15/SentimentTensor with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://saishshinde15/SentimentTensor") - Notebooks
- Google Colab
- Kaggle
Upload sentitensor.h5
Browse files- sentitensor.h5 +3 -0
sentitensor.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:67cc20c53c36938eb367a000338ac39726710351a2656dad3a4284588f5faf78
|
| 3 |
+
size 29926216
|