Instructions to use tanoManzo/MiniLM-attitude with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tanoManzo/MiniLM-attitude with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tanoManzo/MiniLM-attitude")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tanoManzo/MiniLM-attitude") model = AutoModelForSequenceClassification.from_pretrained("tanoManzo/MiniLM-attitude") - 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 sha256:5330f8db71830346e37e3b04dc05243092f3614a0b6fae93b1180ba0a3000804
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size 133472100
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