Instructions to use gngpostalsrvc/binary_COHeN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gngpostalsrvc/binary_COHeN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gngpostalsrvc/binary_COHeN")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gngpostalsrvc/binary_COHeN") model = AutoModelForSequenceClassification.from_pretrained("gngpostalsrvc/binary_COHeN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "clean_up_tokenization_spaces": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "tokenizer_class": "PreTrainedTokenizerFast" | |
| } | |