Instructions to use bio-nlp-umass/llama_prompt_synth_sbdh_mlc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bio-nlp-umass/llama_prompt_synth_sbdh_mlc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "bio-nlp-umass/llama_prompt_synth_sbdh_mlc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84cb2897534822992c9bc4d4cf5139fab7403ca5afe7cb5906e3473a44d243a9
- Size of remote file:
- 1.06 kB
- SHA256:
- 06d8077615863e70a39f7431883d2f75082827cad6b2bdb3a492e00b9a8e1cc9
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