Instructions to use Blablablab/10dimensions-power with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blablablab/10dimensions-power with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Blablablab/10dimensions-power")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Blablablab/10dimensions-power") model = AutoModelForSequenceClassification.from_pretrained("Blablablab/10dimensions-power", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload config.json
d017bc3 -
Upload 2 files
7ecd243
-
Upload 3 files
4f66d71 -
initial commit
26dbaae