Text Classification
Transformers
Safetensors
English
bert
DNA
genomics
fish
sequence-classification
FishNALM
fine-tuned
promoter-300-all
Instructions to use bioinfoihb/FishNALM-20L_prom_300_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bioinfoihb/FishNALM-20L_prom_300_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bioinfoihb/FishNALM-20L_prom_300_all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bioinfoihb/FishNALM-20L_prom_300_all") model = AutoModelForSequenceClassification.from_pretrained("bioinfoihb/FishNALM-20L_prom_300_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2441791c13c872a1ef188e83f1c5028f8fbee4a04af307c7654f64c288e32b8
- Size of remote file:
- 1.24 GB
- SHA256:
- 50aa4d437b7742140ed2caeb563ff291703215465abb471de44f52d2afab4ce0
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