Instructions to use telecomadm1145/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use telecomadm1145/test3 with KerasHub:
import keras_hub # Load CausalLM model (optional: use half precision for inference) causal_lm = keras_hub.models.CausalLM.from_preset("hf://telecomadm1145/test3", dtype="bfloat16") causal_lm.compile(sampler="greedy") # (optional) specify a sampler # Generate text causal_lm.generate("Keras: deep learning for", max_length=64)import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://telecomadm1145/test3") - Keras
How to use telecomadm1145/test3 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://telecomadm1145/test3") - Notebooks
- Google Colab
- Kaggle
Upload model from Kaggle
Browse files- metadata.json +1 -1
- model_00000.weights.h5 +1 -1
- model_00001.weights.h5 +1 -1
metadata.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"keras_version": "3.13.2",
|
| 3 |
"keras_hub_version": "0.26.0",
|
| 4 |
"parameter_count": 4022468096,
|
| 5 |
-
"date_saved": "2026-
|
| 6 |
"tasks": [
|
| 7 |
"CausalLM"
|
| 8 |
]
|
|
|
|
| 2 |
"keras_version": "3.13.2",
|
| 3 |
"keras_hub_version": "0.26.0",
|
| 4 |
"parameter_count": 4022468096,
|
| 5 |
+
"date_saved": "2026-04-01@00:00:39",
|
| 6 |
"tasks": [
|
| 7 |
"CausalLM"
|
| 8 |
]
|
model_00000.weights.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 10737490040
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1f731727e4ca6d2e9432e9c80b3965341f077830625a91386f85ab9b2434f770
|
| 3 |
size 10737490040
|
model_00001.weights.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5353823144
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3034014044b1d5800ac5de6abfcc84ca4fa71876d713d2ad3e7f1e868e9fd2e2
|
| 3 |
size 5353823144
|