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
File size: 146 Bytes
66d6588 | 1 2 3 4 5 6 | {
"clean_up_tokenization_spaces": true,
"model_max_length": 1000000000000000019884624838656,
"tokenizer_class": "PreTrainedTokenizerFast"
}
|