Instructions to use peril10/Pypinion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peril10/Pypinion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peril10/Pypinion")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peril10/Pypinion") model = AutoModelForSequenceClassification.from_pretrained("peril10/Pypinion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from peril10/Pypinion: direct link, hf CLI and curl.
- Browser
- Download file 49 Bytes
-
https://huggingface.co/peril10/Pypinion/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://peril10/Pypinion/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/peril10/Pypinion/resolve/main/tokenizer_config.json
49 Bytes
| {"do_lower_case": false, "model_max_length": 512} |