Instructions to use llm-blender/gen_fuser_770m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llm-blender/gen_fuser_770m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("llm-blender/gen_fuser_770m") model = AutoModelForSeq2SeqLM.from_pretrained("llm-blender/gen_fuser_770m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eaa968f0738fbcbe679f6a7c85d86fc4600227639d078276632134dcc069436
- Size of remote file:
- 4.67 kB
- SHA256:
- 9320cd81d72561a1ea8cebd53fb46f701f1e9778c50ac6744dec470cda850460
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