Instructions to use dvs/poetry-author with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvs/poetry-author with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dvs/poetry-author")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dvs/poetry-author") model = AutoModelForSequenceClassification.from_pretrained("dvs/poetry-author", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
927a7b4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4a7aa91fa3ee77dd4d5f9cf1d4bb0ec55e638647ed77253c23243da70eb96610
size 4728
|