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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tydymy/human_dna_classification: direct link, hf CLI and curl.
- Browser
- Download file 1.92 GB
-
https://huggingface.co/tydymy/human_dna_classification/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tydymy/human_dna_classification/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tydymy/human_dna_classification/resolve/main/pytorch_model.bin
1.92 GB
- Xet hash:
- 6c0941a4c3bf6a9d4da4eb18884fc993444baf48431336cf04671cd600d47dec
- Size of remote file:
- 1.92 GB
- SHA256:
- 61360a3525f7f8c904d4d8fd55d72f06ea52adc168cb04f70353615f336a4b01
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.