Text Classification
Transformers
Safetensors
Polish
English
roberta
ordinal-classification
technical-comments
retrieval
custom_code
text-embeddings-inference
Instructions to use jansowa/dev-knowledge-bullshit-detector-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jansowa/dev-knowledge-bullshit-detector-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jansowa/dev-knowledge-bullshit-detector-v0.1", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jansowa/dev-knowledge-bullshit-detector-v0.1", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("jansowa/dev-knowledge-bullshit-detector-v0.1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model": "sdadas/polish-roberta-base-8k", | |
| "model_preset": "roberta", | |
| "training_mode": "full", | |
| "model_format_version": 2, | |
| "target_mode": "retrieval-value", | |
| "target_version": "retrieval-value-0-4-v2-rps", | |
| "output_semantics": "five-class ordered retrieval usefulness distribution", | |
| "num_labels": 5, | |
| "loss": "cross-entropy+ranked-probability-score", | |
| "ordinal_loss_weight": 0.25, | |
| "dataset": { | |
| "dataset_format_version": 2, | |
| "annotation_prompt_version": "retrieval-usefulness-v3.3", | |
| "language_mode": "all", | |
| "source_pair_hashes": { | |
| "train": "881bb191edd1e2d53ade600f835122545fc578a5e5d56cbcef725a6f268a62fb", | |
| "validation": "c025baeadef63a7619ee3b988c3aa650cb869f57d2e6cc5cfb4e2236a4ccd874", | |
| "calibration": "d84b0cfa09a7525160a01c5bb0ff7a4939248040b5b2c4f2087a50b84ef38509", | |
| "test": "727e6dc673d120f77f3658c59ff055820bf4db56c1000a4caf54c3c2ec2053c0" | |
| }, | |
| "retrieval_value_distribution": { | |
| "0": 4424, | |
| "1": 2389, | |
| "2": 99, | |
| "3": 1241, | |
| "4": 817 | |
| }, | |
| "split_hash": "c004d3c1fd75cee2d7c94a693f10da84f8c89a52c0753270f6a32aedb3d012f1", | |
| "split_sha256": { | |
| "train": "4161ebbba1857256f0048a7bcbfe4cf62f5ac340274adb1b5825f24f4599ac14", | |
| "validation": "8c784e7196a948eac1148bbf96004fb64f3f8cc352c3a2a418b39fe85019a2dc", | |
| "calibration": "b957a0cb7682443ef26e572f57a55b12ff6a521aba102b455d49182f8d7ecf70", | |
| "test": "b62e431a99fb9b03f641e9ee875c8bffa68f41795327753adb70b16eb1bff764", | |
| "test_en": "64ed6b2ae27f5b51375658f3f7d919db14049311efaf87e68385a8980970b574" | |
| } | |
| }, | |
| "classifier_max_length": 256 | |
| } | |