Instructions to use alvations/mt5-aym-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvations/mt5-aym-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alvations/mt5-aym-base") model = AutoModelForSeq2SeqLM.from_pretrained("alvations/mt5-aym-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 75000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2336092213
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49a16e80f82e9dac63babf6788a69f261b0ac7349c8d701358038c6cf56a03c0
|
| 3 |
size 2336092213
|
runs/May10_21-23-42_1968f4144f35/events.out.tfevents.1683753831.1968f4144f35.248.0
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:be769e2375df8cfd6dacf7663e8e53ba91625d64332fc9be2759c253ab765d14
|
| 3 |
+
size 12157
|