Instructions to use lgessler/microbert-coptic-mx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgessler/microbert-coptic-mx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lgessler/microbert-coptic-mx")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lgessler/microbert-coptic-mx") model = AutoModel.from_pretrained("lgessler/microbert-coptic-mx") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 29 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 30 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
| 31 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 29 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 30 |
*.zstandard filter=lfs diff=lfs merge=lfs -text
|
| 31 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 32 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c686faff8709ebccd73ee502f0f520061484b6c02111efea323c52fa55288207
|
| 3 |
+
size 5158384
|