Instructions to use alenaa/evas_detection_pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alenaa/evas_detection_pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alenaa/evas_detection_pt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alenaa/evas_detection_pt") model = AutoModelForSequenceClassification.from_pretrained("alenaa/evas_detection_pt") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
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 sha256:3d4ccc8d16d466ab8bdec85e8b453dc44ec0f280b0c5e29fc93ddd732523c8ae
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size 267832560
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