Instructions to use Wikidepia/IndoT5-base-paraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wikidepia/IndoT5-base-paraphrase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoT5-base-paraphrase") model = AutoModelForSeq2SeqLM.from_pretrained("Wikidepia/IndoT5-base-paraphrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
30 Epoch PAWS + ParaBank
Browse files
events.out.tfevents.1630657107.t1v-n-9033671f-w-0.17424.0.v2 → events.out.tfevents.1630664328.t1v-n-9033671f-w-0.35915.0.v2
RENAMED
|
@@ -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 sha256:343617e6a6a75ab0b09598029e23be0cf190375be1934a7129aa898d1041e40d
|
| 3 |
+
size 17887154
|
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 990323615
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c20a05415fa698acc43cb71431207b98352be03543d2549e297028ec384241fd
|
| 3 |
size 990323615
|
pytorch_model.bin
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:a59be99b9264129368f7a37ada2cae0ab9af18c023059471cfb62eff8c53e46a
|
| 3 |
+
size 990438115
|