Instructions to use Ericwang/tiny-random-ast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ericwang/tiny-random-ast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Ericwang/tiny-random-ast")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("Ericwang/tiny-random-ast") model = AutoModel.from_pretrained("Ericwang/tiny-random-ast") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6f6d10cefa95b45081eb3dbd02b319aa3fa717629ec301045fce2c3ac0ba3b8
|
| 3 |
+
size 317316
|