Summarization
Transformers
PyTorch
TensorBoard
Safetensors
English
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use sudoLife/tst-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudoLife/tst-summarization with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="sudoLife/tst-summarization")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sudoLife/tst-summarization") model = AutoModelForMultimodalLM.from_pretrained("sudoLife/tst-summarization") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 92500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 242071641
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87858bad8cf9767c9cdb0302f3d9102924f62de9e07fe72ca7ca8cf593529155
|
| 3 |
size 242071641
|
runs/Jun07_11-54-36_p100-30/events.out.tfevents.1686138885.p100-30.22792.0
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:d58d38f9ec2df287081abf1306d8f8303784122927bf3e190d92d1a70da29b08
|
| 3 |
+
size 31594
|