Instructions to use hf-internal-testing/tiny-random-BigBirdPegasusModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BigBirdPegasusModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-BigBirdPegasusModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-BigBirdPegasusModel") - Notebooks
- Google Colab
- Kaggle
Upload tiny models for BigBirdPegasusModel
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 12523002
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee5609385a897eeb327e6888c391c1e5f5d0c6077f223b47e572a4e80b653a9a
|
| 3 |
size 12523002
|