Instructions to use Den4ikAI/ruBert_base_fact_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Den4ikAI/ruBert_base_fact_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Den4ikAI/ruBert_base_fact_detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Den4ikAI/ruBert_base_fact_detection") model = AutoModelForSequenceClassification.from_pretrained("Den4ikAI/ruBert_base_fact_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Librarian Bot: Update dataset YAML metadata for model
This is a pull request to add a dataset, [`Den4ikAI/fact_detection`](https://huggingface.co/datasets/Den4ikAI/fact_detection), to the metadata for your model (defined in the `YAML` block of your model's `README.md`). The pull request was made by [librarian-bot](https://huggingface.co/librarian-bot) and used a combination of rules and/or machine learning to suggest this additional metadata. If this suggestion is incorrect, feel free to close this pull request. Librarian Bot was made by [@davanstrien](https://huggingface.co/davanstrien); feel free to get in touch with feedback.2076437
-
Update config.json
27f0d85 -
Update config.json
10a0ac1 -
Update config.json
750eb39
-
Update README.md
072ebb0 -
Update README.md
39ea692 -
Update README.md
88ec4ad -
Update README.md
a4262a5 -
Update README.md
6509d3c -
Upload pytorch_model.bin
a54e41b -
Upload 6 files
5509074
-
Upload pytorch_model.bin
14474a2 -
Upload 7 files
7709082
-
Update README.md
a5b7218
-
Upload 7 files
551b0c5 -
initial commit
f0ff8fc