Instructions to use KamrusSamad/tiny2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KamrusSamad/tiny2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KamrusSamad/tiny2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KamrusSamad/tiny2") model = AutoModelForMaskedLM.from_pretrained("KamrusSamad/tiny2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c480b13
1
Parent(s): 7a1920e
Delete pytorch_model.bin
Browse files- pytorch_model.bin +0 -3
pytorch_model.bin
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:5c37d584b1a6525538a52cd2bc526f7a62e5eaa990b3bf00e33a1a483f8c8d44
|
| 3 |
-
size 133
|
|
|
|
|
|
|
|
|
|
|
|