Instructions to use miladfa7/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miladfa7/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miladfa7/output")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("miladfa7/output") model = AutoModelForMaskedLM.from_pretrained("miladfa7/output") - Notebooks
- Google Colab
- Kaggle
Commit ·
5f199ea
1
Parent(s): de3bfc2
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f248b4035c8aaa3d5b50e94130c3a84a3b2ad8afe4f7182d9d27ccdc65fb2c87
|
| 3 |
+
size 651778791
|