Instructions to use hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForAudioFrameClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification") model = AutoModelForAudioFrameClassification.from_pretrained("hf-internal-testing/tiny-random-Data2VecAudioForAudioFrameClassification") - Notebooks
- Google Colab
- Kaggle
Commit ·
4820de4
1
Parent(s): a64828b
Update tiny models for Data2VecAudioForAudioFrameClassification
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 293781
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5db32b3a5dfbea06cea25e9494fdff3c21be76c6d826adbbc7a7929bb54609c
|
| 3 |
size 293781
|