Instructions to use farzadab/testing-model-upload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use farzadab/testing-model-upload with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="farzadab/testing-model-upload", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("farzadab/testing-model-upload", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 416
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6af6e14b216661883cf506e24dc3c3ac81c66d329159118467bb5f7b9f48667e
|
| 3 |
size 416
|