Instructions to use DL-Project/hatespeech_ast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DL-Project/hatespeech_ast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="DL-Project/hatespeech_ast")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("DL-Project/hatespeech_ast") model = AutoModelForAudioClassification.from_pretrained("DL-Project/hatespeech_ast") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -21,7 +21,7 @@ widget:
|
|
| 21 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 22 |
should probably proofread and complete it, then remove this comment. -->
|
| 23 |
|
| 24 |
-
#
|
| 25 |
|
| 26 |
This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
|
| 27 |
It achieves the following results on the evaluation set:
|
|
|
|
| 21 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 22 |
should probably proofread and complete it, then remove this comment. -->
|
| 23 |
|
| 24 |
+
# hatespeech_ast
|
| 25 |
|
| 26 |
This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
|
| 27 |
It achieves the following results on the evaluation set:
|