Instructions to use GilbertKrantz/Text-Summarizer_T5-Finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GilbertKrantz/Text-Summarizer_T5-Finetune with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GilbertKrantz/Text-Summarizer_T5-Finetune") model = AutoModelForSeq2SeqLM.from_pretrained("GilbertKrantz/Text-Summarizer_T5-Finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242041896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eaa8ed37681d858fec007686f970f38725cfdb3532e6603d560f6014bba78134
|
| 3 |
size 242041896
|
runs/Dec20_03-32-40_c8ca57ef3bf1/events.out.tfevents.1734665562.c8ca57ef3bf1.38.0
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 sha256:48ef8b90fc7ed074d80d2852fcd72833f91917c4f3e3d5a90bc282a900bf4e08
|
| 3 |
+
size 7451
|