Instructions to use slprl/SIMS-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slprl/SIMS-7B with Transformers:
# Load model directly from transformers import UnitLM model = UnitLM.from_pretrained("slprl/SIMS-7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update pipeline tag to audio-text-to-text
Browse filesThis PR updates the `pipeline_tag` metadata from `audio-to-audio` to `audio-text-to-text`. This change more accurately reflects the model's capabilities, as described in its paper abstract and model card, indicating its multimodal input (audio and text) and text generation capabilities. This ensures better discoverability for users searching for models with this specific functionality on the Hugging Face Hub.
README.md
CHANGED
|
@@ -1,13 +1,13 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
datasets:
|
| 5 |
- slprl/sTinyStories
|
| 6 |
language:
|
| 7 |
- en
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
pipeline_tag: audio-to-
|
| 11 |
---
|
| 12 |
|
| 13 |
# Scaling Analysis of Interleaved Speech-Text Language Models
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model:
|
| 3 |
+
- Qwen/Qwen2.5-7B
|
| 4 |
datasets:
|
| 5 |
- slprl/sTinyStories
|
| 6 |
language:
|
| 7 |
- en
|
| 8 |
+
library_name: transformers
|
| 9 |
+
license: mit
|
| 10 |
+
pipeline_tag: audio-text-to-text
|
| 11 |
---
|
| 12 |
|
| 13 |
# Scaling Analysis of Interleaved Speech-Text Language Models
|