Instructions to use sgugger/funnel-random-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/funnel-random-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sgugger/funnel-random-tiny")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sgugger/funnel-random-tiny") model = AutoModel.from_pretrained("sgugger/funnel-random-tiny") - Notebooks
- Google Colab
- Kaggle
Add TF model
Browse files- tf_model.h5 +3 -0
tf_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d91e7c21371b4645418c3e62f3a611763e9eabc0805b8243f8b5b3d03b7fc741
|
| 3 |
+
size 332528
|