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
Download ggml-model-q5_0.bin from MEscriva/gilbert-fr-source: direct link, hf CLI and curl.
- Browser
- Download file 1.08 GB
-
https://huggingface.co/MEscriva/gilbert-fr-source/resolve/main/ggml-model-q5_0.bin
- Command line
-
hf download hf://MEscriva/gilbert-fr-source/ggml-model-q5_0.bin
-
curl -L -o ggml-model-q5_0.bin https://huggingface.co/MEscriva/gilbert-fr-source/resolve/main/ggml-model-q5_0.bin
1.08 GB
- Xet hash:
- c408722fa7a129b16ee3512f33d76decb69dce1646e4995a4bc975226d8ba2b4
- Size of remote file:
- 1.08 GB
- SHA256:
- d8da7cb6cdadfac47829abf46fe8cd36fcfef06db5601bfd8acbcd40579010a5
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