Instructions to use andreas122001/bloomz-560m-academic-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreas122001/bloomz-560m-academic-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreas122001/bloomz-560m-academic-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreas122001/bloomz-560m-academic-detector") model = AutoModelForSequenceClassification.from_pretrained("andreas122001/bloomz-560m-academic-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 324 Bytes
6fc382a | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"add_prefix_space": false,
"bos_token": "<s>",
"eos_token": "</s>",
"model_max_length": 1000000000000000019884624838656,
"name_or_path": "bigscience/bloomz-560m",
"pad_token": "<pad>",
"padding_side": "left",
"special_tokens_map_file": null,
"tokenizer_class": "BloomTokenizer",
"unk_token": "<unk>"
}
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