Automatic Speech Recognition
Transformers
Safetensors
whisper
asr
french
speech-recognition
stt
multilingual
research
baseline
Instructions to use MEscriva/gilbert-fr-source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MEscriva/gilbert-fr-source with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MEscriva/gilbert-fr-source")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MEscriva/gilbert-fr-source") model = AutoModelForSpeechSeq2Seq.from_pretrained("MEscriva/gilbert-fr-source", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ajout du modèle bofenghuang/whisper-large-v3-french
Browse files- original_model.pt +3 -0
original_model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b6cec457d94c03789deae2c9b1c64ed0bb095dcab21cb45c1e152ce577b1c64
|
| 3 |
+
size 3087430313
|