Instructions to use zzj0402/secbert-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzj0402/secbert-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zzj0402/secbert-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zzj0402/secbert-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("zzj0402/secbert-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 |
*.zst 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 |
*.zst 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 sha256:3ef0997ca722a026e67bac3ada0d8c4ce2c63bb6067f043604deb886149c7379
|
| 3 |
+
size 334034384
|