Automatic Speech Recognition
Transformers
PyTorch
JAX
Fon
wav2vec2
audio
speech
xlsr-fine-tuning-week
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use chrisjay/fonxlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chrisjay/fonxlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chrisjay/fonxlsr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("chrisjay/fonxlsr") model = AutoModelForCTC.from_pretrained("chrisjay/fonxlsr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from chrisjay/fonxlsr: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/chrisjay/fonxlsr/resolve/70fb3c1900033a48ac15cedfe244dcc45889c03d/flax_model.msgpack
- Command line
-
hf download hf://chrisjay/fonxlsr@70fb3c1900033a48ac15cedfe244dcc45889c03d/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/chrisjay/fonxlsr/resolve/70fb3c1900033a48ac15cedfe244dcc45889c03d/flax_model.msgpack
1.26 GB
- Xet hash:
- c8ad3922a652621626f21947ba0d2b988f54382be4abf4f9a28346606db2cd72
- Size of remote file:
- 1.26 GB
- SHA256:
- 3333110b02040109bbec0412b9950fac9840551f22f2ad06bacca757f32f4fb7
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