Instructions to use breadlicker45/human-class-or-somthing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breadlicker45/human-class-or-somthing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="breadlicker45/human-class-or-somthing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("breadlicker45/human-class-or-somthing") model = AutoModelForSequenceClassification.from_pretrained("breadlicker45/human-class-or-somthing", device_map="auto") - 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 sha256:17daae5fbef458316968fce8e102c7954af1d377f2ee88bf85fd338060bd770e
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size 267841776
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