Instructions to use Prerna2055/T5_ModelCompression_Federated_Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prerna2055/T5_ModelCompression_Federated_Learning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Prerna2055/T5_ModelCompression_Federated_Learning") model = AutoModelForSeq2SeqLM.from_pretrained("Prerna2055/T5_ModelCompression_Federated_Learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
base_federated_model/tensorboard_logs/20250525-134300/events.out.tfevents.1748180580.0a3644dab8ed.19.3
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b6f72e44f200976d0a577baa057a97c97cbe9eb5276100e9e2ba4e3d01252ac
|
| 3 |
+
size 4079
|