Instructions to use FL33TW00D-HF/whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FL33TW00D-HF/whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FL33TW00D-HF/whisper-medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("FL33TW00D-HF/whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("FL33TW00D-HF/whisper-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload medium_q8_0.gguf with huggingface_hub
Browse files- .gitattributes +1 -0
- medium_q8_0.gguf +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
medium_q4k.gguf filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
medium_q4k.gguf filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
medium_q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
medium_q8_0.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74ec59ea93e5b7f7de77ac4346de1648b64a9265e5853001f666ab524021c621
|
| 3 |
+
size 829608288
|