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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Blablablab/10dimensions-social_support") model = AutoModelForSequenceClassification.from_pretrained("Blablablab/10dimensions-social_support", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Blablablab/10dimensions-social_support: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/Blablablab/10dimensions-social_support/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Blablablab/10dimensions-social_support/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Blablablab/10dimensions-social_support/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- f77e449fb46289adf1cbafe53a52b01affcd97f2a81ec17dcb30d249e61193b1
- Size of remote file:
- 433 MB
- SHA256:
- fc6fef91099350659c36cc9e1fda912040f4f1c88e146436cd93584b9c655847
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