Instructions to use Blablablab/10dimensions-social_support with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blablablab/10dimensions-social_support with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Blablablab/10dimensions-social_support")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Blablablab/10dimensions-social_support") model = AutoModelForSequenceClassification.from_pretrained("Blablablab/10dimensions-social_support") - 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:d86a6869fa8e8ec72bb59322ffcdcce84398472a9007092d786011de4a6e64d0
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size 433274952
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