Instructions to use Azaghast/DistilBERT-SCP-Class-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Azaghast/DistilBERT-SCP-Class-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Azaghast/DistilBERT-SCP-Class-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Azaghast/DistilBERT-SCP-Class-Classification") model = AutoModelForSequenceClassification.from_pretrained("Azaghast/DistilBERT-SCP-Class-Classification") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
c1cdc53 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7f309b30c51de0222fa676ba08c655f8fadcca27f75ede4fa4540eb727905b8b
size 267870767
|