Instructions to use everyl12/stance_class_mod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use everyl12/stance_class_mod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="everyl12/stance_class_mod")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("everyl12/stance_class_mod") model = AutoModelForSequenceClassification.from_pretrained("everyl12/stance_class_mod") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:92898e5971b68d15771cfca6ac00f5f150a2b6013ea053da51823fbe57e32865
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size 539631296
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