Instructions to use pragmatic-programs/literal-speaker-prefix-idx-token with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pragmatic-programs/literal-speaker-prefix-idx-token with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pragmatic-programs/literal-speaker-prefix-idx-token") model = AutoModelForSeq2SeqLM.from_pretrained("pragmatic-programs/literal-speaker-prefix-idx-token") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c755620a7bf093ff2efd0ddcbee657029344707d84fab32deac29a1ad374c825
- Size of remote file:
- 1.2 GB
- SHA256:
- 6f2c8d158d07b75727a3acbdf2709e53ab4f9f11a96d61a818edcd6d278927af
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