Instructions to use alenaa/evasiveness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alenaa/evasiveness with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alenaa/evasiveness")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alenaa/evasiveness") model = AutoModelForSequenceClassification.from_pretrained("alenaa/evasiveness") - 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 sha256:276b1c8d1a9438ed43b433931bd0598c0ca92e19f471e15dd01bc0900a89fd37
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size 267832560
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