Instructions to use nilc-nlp/psst-model-8e-1s-difflib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nilc-nlp/psst-model-8e-1s-difflib with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nilc-nlp/psst-model-8e-1s-difflib")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nilc-nlp/psst-model-8e-1s-difflib") model = AutoModelForSpeechSeq2Seq.from_pretrained("nilc-nlp/psst-model-8e-1s-difflib", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nilc-nlp/psst-model-8e-1s-difflib: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/nilc-nlp/psst-model-8e-1s-difflib/resolve/main/tokenizer.json
- Command line
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hf download hf://nilc-nlp/psst-model-8e-1s-difflib/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/nilc-nlp/psst-model-8e-1s-difflib/resolve/main/tokenizer.json
3.93 MB
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