Summarization
Transformers
PyTorch
TensorBoard
mt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use SandraB/mt5-small-mlsum_training_sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SandraB/mt5-small-mlsum_training_sample 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="SandraB/mt5-small-mlsum_training_sample")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SandraB/mt5-small-mlsum_training_sample") model = AutoModelForSeq2SeqLM.from_pretrained("SandraB/mt5-small-mlsum_training_sample") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1200770757
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9a1b3af1f012869eb297d520e348cd8e9aaed44750fb4d1eee137b369f966b5
|
| 3 |
size 1200770757
|
runs/Sep19_13-17-11_e3505b5a8b3d/events.out.tfevents.1663593463.e3505b5a8b3d.71.0
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 sha256:684ccb83a0b3723e2c36ed64f733e8b505318546572df3540912dbc81bd34dde
|
| 3 |
+
size 25676
|
runs/Sep19_13-17-11_e3505b5a8b3d/events.out.tfevents.1663629265.e3505b5a8b3d.71.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d88ffa84f2dc5040ce9e32451f8e5fd9c13068e3666561816e37101184d3f918
|
| 3 |
+
size 523
|