Instructions to use pragmatic-programs/literal-speaker-suffix-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-suffix-idx-token with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pragmatic-programs/literal-speaker-suffix-idx-token") model = AutoModelForSeq2SeqLM.from_pretrained("pragmatic-programs/literal-speaker-suffix-idx-token", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb29e9d173c96a70f967898743cf3e8c70e3cf1c93b78c12f9f4cb5c86157f03
- Size of remote file:
- 1.2 GB
- SHA256:
- 73a508b1ec82f0a238b5b5b3fc0933f14e0b13852841203b62ac56a52fce7133
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