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:
- 30e3c80bb0be561faa78ccbf809e10f3ac5e8028c814d1807676bae9eea44f4e
- Size of remote file:
- 1.57 GB
- SHA256:
- 23226888ceaefe0c71389103b8d5979614ef883842ff049f02708203a133e966
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