Instructions to use onlplab/alephbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onlplab/alephbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="onlplab/alephbert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("onlplab/alephbert-base") model = AutoModelForMaskedLM.from_pretrained("onlplab/alephbert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
b5ed677
1
Parent(s): 5cf1afd
allow flax
Browse files- .gitattributes +1 -0
.gitattributes
CHANGED
|
@@ -14,3 +14,4 @@
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|