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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31555ae4016f1e6d64374afd1387ca97b170602e208e33ddaa80cae9aca0946f
- Size of remote file:
- 268 MB
- SHA256:
- 2c60995cf61953bb76dee183a2ea8e363e660dfd62c22228e6edeaac562c18b3
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