Instructions to use keshan/sinhala-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keshan/sinhala-t5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("keshan/sinhala-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("keshan/sinhala-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 65000
Browse files
events.out.tfevents.1625983343.t1v-n-0b4afe6c-w-0.39777.3.v2
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 sha256:681c17a06c4711d6049c87663d6f61d84740c29f8ca3101a2e1ca6ace717772d
|
| 3 |
+
size 9348926
|
flax_model.msgpack
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 241981002
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a83533d7838b7f0cae4e007b3994a2a4204659fef2f350f41a92dbd39437602
|
| 3 |
size 241981002
|