Instructions to use Propofol/_finetuned-finetuned-localization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Propofol/_finetuned-finetuned-localization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Propofol/_finetuned-finetuned-localization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Propofol/_finetuned-finetuned-localization") model = AutoModelForSequenceClassification.from_pretrained("Propofol/_finetuned-finetuned-localization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
c2a97fc | 1 2 3 4 5 6 | {
"clean_up_tokenization_spaces": true,
"model_max_length": 1000000000000000019884624838656,
"tokenizer_class": "EsmTokenizer"
}
|