Instructions to use Surendran/tf_model.h5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Surendran/tf_model.h5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Surendran/tf_model.h5")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Surendran/tf_model.h5") model = AutoModelForMaskedLM.from_pretrained("Surendran/tf_model.h5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete suren_bert.h5
Browse files- suren_bert.h5 +0 -3
suren_bert.h5
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:3f6c3dc23d5fb8b3bcd3b6702357d2475c47772e352863aeceb64d387dd0569b
|
| 3 |
-
size 267952512
|
|
|
|
|
|
|
|
|
|
|
|