Instructions to use LiukG/mus_promoter-finetuned-lora-NT-500m-human-ref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiukG/mus_promoter-finetuned-lora-NT-500m-human-ref with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LiukG/mus_promoter-finetuned-lora-NT-500m-human-ref")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LiukG/mus_promoter-finetuned-lora-NT-500m-human-ref") model = AutoModelForSequenceClassification.from_pretrained("LiukG/mus_promoter-finetuned-lora-NT-500m-human-ref", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 567f92475458e4441312c497e63d0901a699f2c51f3e4ef8d5580a93a7def3dc
- Size of remote file:
- 4.73 kB
- SHA256:
- 3355dbfe1f2f076fd89af86fa3c767b400235b54e24ddff0171e0b2fe3997d79
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