Instructions to use rmacario/qxp-vs2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmacario/qxp-vs2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rmacario/qxp-vs2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rmacario/qxp-vs2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
-
Add model card
Verified signature0ed2384 -
Add the 36-symbol vocabulary
Verified signature6be0ab2
14 days ago
-
sync state.json
Verified signaturefc5709b -
sync state.json
Verified signature14e3654 -
sync state.json
Verified signature1ac6041 -
vs2 epoch 0
Verified signature11fff42 -
initial commit
Verified signaturede303b2