Instructions to use Fsoft-AIC/dopamin-python-summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/dopamin-python-summary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fsoft-AIC/dopamin-python-summary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fsoft-AIC/dopamin-python-summary") model = AutoModelForSequenceClassification.from_pretrained("Fsoft-AIC/dopamin-python-summary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 128 Bytes
8806f3b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:957fe93e7443d50157ecaaf7766fc817c558faceaa8bde7275c4ea14c7fdca60
size 627
|