Instructions to use infiniteregrets/tech-dialogue-summarization-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use infiniteregrets/tech-dialogue-summarization-3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("infiniteregrets/tech-dialogue-summarization-3") model = AutoModelForSeq2SeqLM.from_pretrained("infiniteregrets/tech-dialogue-summarization-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93a4b56d3cec79c8cbaebc4c39db95dc3d8165ca65df99a381c96f40cc815ad5
- Size of remote file:
- 1.63 GB
- SHA256:
- 9932e9cbacbc047553a9acbcf34fdbca98a0c7d83b12799342e5f6edffe826ba
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