Instructions to use tydymy/human_dna_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tydymy/human_dna_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tydymy/human_dna_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tydymy/human_dna_classification") model = AutoModelForSequenceClassification.from_pretrained("tydymy/human_dna_classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f1a09e07d017961a387722e6ab05ab6483b5a5f0a11d2c6f9957c9402fe578d
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size 1921819636
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