Instructions to use muhtasham/tiny-mlm-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/tiny-mlm-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="muhtasham/tiny-mlm-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("muhtasham/tiny-mlm-squad") model = AutoModelForMaskedLM.from_pretrained("muhtasham/tiny-mlm-squad") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 17685298
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c823d9be4be1d30d83b65cc60e0f274416e2cbf083e3251f6f86c89875cf5677
|
| 3 |
size 17685298
|
runs/Jan06_13-34-41_dc5fad9a16ec/events.out.tfevents.1673012087.dc5fad9a16ec.1685453.0
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 sha256:5e2b6e76dbc872b2df7d5877916a20d4d44645b07399c11b5e75478e5960db93
|
| 3 |
+
size 6707
|